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Data for phi -> gamma (eta-pizero) are analysed using the ORG loop model and
compared with parameters of GPE) derived from ORG data. The
eta-pi mass spectrum agrees closely and the absolute normalisation lies just
within errors. However, ORG parameters for fo(980) predict a normalisation for
phi -> gamma (pizero-pizero... | Both sigma and kappa are well established from PRODUCT data on DATE and
Ds->Kpipi and ORG data on J/Psi -> omega pi pi and PERSON. These fits are
accurately consistent with pipi and PERSON elastic scattering when CARDINAL allows for
the PERSON CARDINAL which arises from ORG. The phase variation
with mass is consistent ... | 1 |
Sequential decision theory formally solves the problem of rational agents in
uncertain worlds if the true environmental prior probability distribution is
known. PERSON's theory of universal induction formally solves the problem
of sequence prediction for unknown prior distribution. We combine both ideas
and get a param... | We provide a remarkably compact proof that spherically symmetric neutral
black holes cannot support static nonminimally coupled massless scalar fields.
The theorem is based on causality restrictions imposed on the energy-momentum
tensor of the fields near the regular black-hole horizon. | 0 |
Is the universe computable? If so, it may be much cheaper in terms of
information requirements to compute all computable universes instead of just
ours. I apply basic concepts of NORP complexity theory to the set of
possible universes, and chat about perceived and true randomness, life,
generalization, and learning in ... | We analyse notion of independence in the ORG framework by using
comparative analysis of independence in conventional and frequency probability
theories. Such an analysis is important to demonstrate that ORG's inequality
was obtained by using totally unjustified assumptions (e.g. the
ORG factorability condition). Our fr... | 0 |
When PERSON layed the foundations of theoretical computer science in
DATE, he also introduced essential concepts of the theory of ORG (AI). Although much of subsequent ORG research has focused on
heuristics, which still play a major role in many practical AI applications, in
the new millennium AI theory has finally bec... | I review unsupervised or self-supervised neural networks playing minimax
games in game-theoretic settings. (i) Adversarial Curiosity (ORG, DATE) is based
on CARDINAL such networks. CARDINAL network learns to probabilistically generate outputs,
the other learns to predict effects of the outputs. Each network minimizes t... | 1 |
Variation of the CARDINAL-D string cosmology action with dynamical torsion and
massless dilatons lead to an expression of torsion in terms of massless
dilatons in the case of de Sitter inflation.The solution is approximated
according to the ORG data. | ORG electrodynamics in CARDINAL+1-spacetimes with torsion is investigated.
We start from the usual ORG (ORG) electrodynamics NORP and GPE
torsion is introduced in the covariant derivative and by a direct coupling of
torsion vector to the ORG field. Variation of the NORP with respect to
torsion shows that ORG field is p... | 1 |
The paper describes multistage design of composite (modular) systems (i.e.,
design of a system trajectory). This design process consists of the following:
(i) definition of a set of time/logical points; (ii) modular design of the
system for each time/logical point (e.g., on the basis of combinatorial
synthesis as hiera... | Horizonless spacetimes describing highly compact exotic objects with
reflecting (instead of absorbing) surfaces have recently attracted much
attention from physicists and mathematicians as possible quantum-gravity
alternatives to canonical classical black-hole spacetimes. Interestingly, it
has recently been proved that... | 0 |
This paper explores the problem of ORG measurement complexity. In
computability theory, the complexity of a problem is determined by how long it
takes an effective algorithm to solve it. This complexity may be compared to
the difficulty for a hypothetical oracle machine, the output of which may be
verified by a computa... | We discuss philosophical issues concerning the notion of cognition basing
ourselves in experimental results in cognitive sciences, especially in computer
simulations of cognitive systems. There have been debates on the "proper"
approach for studying cognition, but we have realized that all approaches can
be in theory e... | 0 |
Statistical inference of genetic regulatory networks is essential for
understanding temporal interactions of regulatory elements inside the cells.
For inferences of large networks, identification of network structure is
typical achieved under the assumption of sparsity of the networks.
When the number of time points ... | An extension of reproducing kernel PERSON space (ORG) theory provides a new
framework for modeling functional regression models with functional responses.
The approach only presumes a general nonlinear regression structure as opposed
to previously studied ORG regression models. Generalized cross-validation
(GCV) is pro... | 1 |
The aggregated citation relations among journals included in the Science
PRODUCT Index provide us with a huge matrix which can be analyzed in various
ways. Using principal component analysis or factor analysis, the factor scores
can be used as indicators of the position of the cited journals in the citing
dimensions of... | This is yet another version of the course notes in PERSON. Here we
change the universal Turing machine that is used to measure program-size
complexity so that the constants in our information-theoretic incompleteness
theorems are further reduced. This is done by inventing a more complicated
version of lisp in which the... | 0 |
In this paper CARDINAL presents a new fuzzy clustering algorithm based on a
dissimilarity function determined by CARDINAL parameters. This algorithm can be
considered a generalization of the ORG algorithm for fuzzy
clustering. | Shannon entropy was defined for probability distributions and then its using
was expanded to measure the uncertainty of knowledge for systems with complete
information. In this article, it is proposed to extend the using of FAC
entropy to under-defined or over-defined information systems. To be able to use
FAC entropy,... | 1 |
ORG is recently modelled as an exploration/
exploitation trade-off (exr/exp) problem, where the system has to choose
between maximizing its expected rewards dealing with its current knowledge
(exploitation) and learning more about the unknown user's preferences to
improve its knowledge (exploration). This problem has b... | Stationary, axisymmetric, vacuum, solutions of PERSON's equations are
obtained as critical points of the total mass among all axisymmetric and
$(t,\phi)$ symmetric initial data with fixed angular momentum. In this
variational principle the mass is written as a positive definite integral over
a spacelike hypersurface. I... | 0 |
Most of the non-asymptotic theoretical work in regression is carried out for
the square loss, where estimators can be obtained through closed-form
expressions. In this paper, we use and extend tools from the convex
optimization literature, namely self-concordant functions, to provide simple
extensions of theoretical re... | Set-functions appear in many areas of computer science and applied
mathematics, such as machine learning, computer vision, operations research or
electrical networks. Among these set-functions, submodular functions play an
important role, similar to convex functions on vector spaces. In this tutorial,
the theory of sub... | 1 |
We investigate cortical learning from the perspective of mechanism design.
ORDINAL, we show that discretizing standard models of neurons and synaptic
plasticity leads to rational agents maximizing simple scoring rules. ORDINAL,
our main result is that the scoring rules are proper, implying that neurons
faithfully encod... | We examine the issue of stability of probability in reasoning about complex
systems with uncertainty in structure. Normally, propositions are viewed as
probability functions on an abstract random graph where it is implicitly
assumed that the nodes of the graph have stable properties. But what if some of
the nodes chang... | 0 |
Constraint propagation algorithms form an important part of most of the
constraint programming systems. We provide here a simple, yet very general
framework that allows us to explain several constraint propagation algorithms
in a systematic way. In this framework we proceed in CARDINAL steps. ORDINAL, we
introduce a ge... | We discuss here constraint programming (CP) by using a proof-theoretic
perspective. To this end we identify CARDINAL levels of abstraction. Each level
sheds light on the essence of CP.
In particular, the highest level allows us to bring CP closer to the
computation as deduction paradigm. At the middle level we can ex... | 1 |
The canonical anticommutation relations (ORG) for fermion systems can be
represented by finite-dimensional matrix algebra, but it is impossible for
canonical commutation relations (ORG) for bosons. After description of more
simple case with representation of ORG and (bounded) quantum computational
networks via ORG alge... | Current machine learning systems operate, almost exclusively, in a
statistical, or model-free mode, which entails severe theoretical limits on
their power and performance. Such systems cannot reason about interventions and
retrospection and, therefore, cannot serve as the basis for strong ORG. To
achieve human level in... | 0 |
Suppose we allow a system to fall freely from infinity to a point near (but
not beyond) the horizon of a black hole. We note that in a sense the
information in the system is already lost to an observer at infinity. Once the
system is too close to the horizon it does not have enough energy to send its
information back b... | The goal of this tutorial is to promote interest in the study of random
NORP networks (RBNs). These can be very interesting models, since one does
not have to assume any functionality or particular connectivity of the networks
to study their generic properties. Like this, RBNs have been used for exploring
the configura... | 0 |
There is a common need to search of molecular databases for compounds
resembling some shape, what suggests having similar biological activity while
searching for new drugs. The large size of the databases requires fast methods
for such initial screening, for example based on feature vectors constructed to
fulfill the r... | While we are usually focused on forecasting future values of time series, it
is often valuable to additionally predict their entire probability
distributions, e.g. to evaluate risk, PERSON simulations. On example of
time series of $\approx$ 30000 ORG, there will be
presented application of hierarchical correlation reco... | 1 |
The black hole information paradox is a very poorly understood problem. It is
often believed that GPE's argument is not precisely formulated, and a more
careful accounting of naturally occurring ORG corrections will allow the
radiation process to become unitary. We show that such is not the case, by
proving that small ... | The black hole information paradox is resolved in string theory by a radical
change in the picture of the hole: black hole microstates are horizon sized
quantum gravity objects called `fuzzballs' instead of vacuum regions with a
central singularity. The requirement of causality implies that the quantum
gravity wavefunc... | 1 |
We introduce a model of SU(2) and ORG) vector fields with a local U(2)
symmetry. Its action can be obtained in the GPE limit of a gauge invariant
regularization involving CARDINAL scalar fields. Evidence from lattice simulations
of the model supports a (CARDINAL temperature) SU(2) deconfining phase transition
through b... | PERSON chain PERSON simulations of pure SU(2)xU(1) lattice gauge theory
show a (CARDINAL temperature) deconfining phase transition in the SU(2) gluon
sector when a term is added to the SU(2) and U(1) Wilson actions, which
requires joint U(2) gauge transformations of the SU(2) and ORG) vector fields.
Investigations of t... | 1 |
PERSON's PERSON (IDM) for categorical i.i.d. data extends
the classical PRODUCT model to a set of priors. It overcomes several
fundamental problems which other approaches to uncertainty suffer from. Yet, to
be useful in practice, CARDINAL needs efficient ways for computing the
imprecise=robust sets or intervals. The ma... | We provide here a simple, yet very general framework that allows us to
explain several constraint propagation algorithms in a systematic way. In
particular, using the notions commutativity and semi-commutativity, we show how
the well-known AC-3, ORG, ORG and ORG algorithms are instances of a single
generic algorithm. T... | 0 |
A careful analysis of conditioning in the Sleeping Beauty problem is done,
using the formal model for reasoning about knowledge and probability developed
by ORG and ORG. While the Sleeping Beauty problem has been viewed as
revealing problems with conditioning in the presence of imperfect recall, the
analysis done here ... | Despite the promise of brain-inspired machine learning, deep neural networks
(DNN) have frustratingly failed to bridge the deceptively large gap between
learning and memory. Here, we introduce a ORG; a new
type of DNN that is capable of brain-like dynamic 'on the fly' learning because
it exists in a self-supervised sta... | 0 |
This is a response to the commentaries on "WORK_OF_ART". | This short note discusses the role of syntax vs. semantics and the interplay
between logic, philosophy, and language in computer science and game theory. | 1 |
We provide here an epistemic analysis of arbitrary strategic games based on
the possibility correspondences. Such an analysis calls for the use of
transfinite iterations of the corresponding operators. Our approach is based on
ORG's PERSON and applies both to the notions of rationalizability
and the iterated eliminatio... | Blind ORG computing enables a client, who does not have enough quantum
technologies, to delegate her ORG computing to a remote quantum server in
such a way that her privacy is protected against the server. Some blind ORG
computing protocols can be made verifiable, which means that the client can
check the correctness o... | 0 |
Cosmology seems extremely remote from everyday human practice and experience.
It is usually taken for granted that cosmological data cannot rationally
influence our beliefs about the fate of humanity -- and possible other
intelligent species -- except perhaps in the extremely distant future, when the
question of heat d... | We critically investigate some evolutionary aspects of the famous ORG
equation, which is usually presented as the central guide for the research on
extraterrestrial intelligence. It is shown that the PERSON equation tacitly
relies on unverifiable and possibly false assumptions on both the
physico-chemical history of ou... | 1 |
An algorithm $M$ is described that solves any well-defined problem $p$ as
quickly as the fastest algorithm computing a solution to $p$, save for a factor
of CARDINAL and low-order additive terms. $M$ optimally distributes resources between
the execution of provably correct $p$-solving programs and an enumeration of
all... | We give a brief introduction to the AIXI model, which unifies and overcomes
the limitations of sequential decision theory and universal PERSON
induction. While the former theory is suited for active agents in known
environments, the latter is suited for passive prediction of unknown
environments. | 1 |
In this article, we choose the
$[sc]_P[\bar{s}\bar{c}]_A-[sc]_A[\bar{s}\bar{c}]_P$ type tetraquark current to
study the hadronic coupling constants in the strong decays $Y(4660)\to ORG, $\eta_c ORG, $ORG, $MONEY, $ MONEY*
\bar{D}^*_s$, $ D_s \bar{D}^*_s$, $D_s^* \bar{D}_s$, $\psi^\prime \pi^+\pi^-$,
$PERSON with the OR... | A simple method for some class of inverse obstacle scattering problems is
introduced. The observation data are given by a wave field measured on a known
surface surrounding unknown obstacles over a finite time interval. The wave is
generated by an initial data with compact support outside the surface. The
method yields... | 0 |
An ultrametric topology formalizes the notion of hierarchical structure. An
ultrametric embedding, referred to here as ultrametricity, is implied by a
natural hierarchical embedding. Such hierarchical structure can be global in
the data set, or local. By quantifying extent or degree of ultrametricity in a
data set, we ... | ORG researchers attempting to align values of highly capable
intelligent systems with those of humanity face a number of challenges
including personal value extraction, multi-agent value merger and finally
in-silico encoding. State-of-the-art research in value alignment shows
difficulties in every stage in this process... | 0 |
In classical problem solving, there is of course correlation between the
selection of the problem on the part of PERSON (the problem setter) and that of
the solution on the part of PERSON (the problem solver). In ORG problem
solving, this correlation becomes quantum. This means that PERSON contributes to
selecting PERC... | A bare description of the seminal ORG algorithm devised by PERSON could
mean more than an introduction to ORG computing. It could contribute to
opening the field to interdisciplinary research. | 1 |
Coding technology is used in several information processing tasks. In
particular, when noise during transmission disturbs communications, coding
technology is employed to protect the information. However, there are CARDINAL types
of coding technology: coding in classical information theory and coding in
quantum informa... | In the setting of a metric space equipped with a doubling measure that
supports a Poincar\'e inequality, we show that any set of finite perimeter can
be approximated in the ORG norm by a set whose topological and measure theoretic
boundaries almost coincide. This result appears to be new even in the LOC
setting. The wo... | 0 |
We give a new existence proof for closed hypersurfaces of prescribed mean
curvature in GPE manifolds. | The existence of closed hypersurfaces of prescribed curvature in
semi-riemannian manifolds is proved provided there are barriers. | 1 |
In this work, various versions of the so-called ORG are provided,
which ensure differentiability properties of pushforwrds between spaces of
C^r-sections (or compactly supported C^r-sections) in vector bundles over
finite-dimensional base manifolds whose fibres are (possibly
infinite-dimensional) locally convex spaces.... | This paper is devoted to such a fundamental problem of ORG computing as
ORG parallelism. It is well known that ORG parallelism is the basis of
the ability of ORG computer to perform in polynomial time computations
performed by classical computers for exponential time. Therefore better
understanding of ORG parallelism i... | 0 |
Reprogramming matter may sound far-fetched, but we have been doing it with
increasing power and staggering efficiency for DATE, and for
centuries we have been paving the way toward the ultimate reprogrammed fate of
the universe, the vessel of all programs. How will we be doing it in DATE
time and how will it impact lif... | Consider the self-map F of the space of real-valued test functions on the
line which takes a test function f to the test function sending a real number x
to f(f(x))-f(0). We show that PRODUCT is discontinuous, although its restriction to
the space of functions supported in K is smooth (and thus continuous), for each
co... | 0 |
In this article, we take the $GPE as the vector tetraquark state
with $PERSON, and construct the
$C\gamma_5\otimes\stackrel{\leftrightarrow}{\partial}_\mu\otimes \gamma_5C$
type diquark-antidiquark current to study its mass and pole residue with the
ORG sum rules in details by taking into account the vacuum condensates... | Lecture given DATE DATE at ORG at ORG. The lecture was videotaped; this is
an edited transcript. | 0 |
A common assumption in belief revision is that the reliability of the
information sources is either given, derived from temporal information, or the
same for all. This article does not describe a new semantics for integration
but the problem of obtaining the reliability of the sources given the result of
a previous mer... | In this article, we study translations between variants of defaults logics
such that the extensions of the theories that are the input and the output of
the translation are in a bijective correspondence. We assume that a translation
can introduce new variables and that the result of translating a theory can
either be p... | 1 |
The apparent failure of individual probabilistic expressions to distinguish
uncertainty about truths from uncertainty about probabilistic assessments have
prompted researchers to seek formalisms where the CARDINAL types of uncertainties
are given notational distinction. This paper demonstrates that the desired
distinct... | The primary theme of this investigation is a decision theoretic account of
conditional ought statements (e.g., "You ought to do A, if C") that rectifies
glaring deficiencies in classical deontic logic. The resulting account forms a
sound basis for qualitative decision theory, thus providing a framework for
qualitative ... | 1 |
Continuing the study of complexity theory of ORG
(OTMs) that was started by ORG and the author, we prove the following
results:
(CARDINAL) An analogue of PERSON's theorem for OTMs holds: That is, there are
languages $\mathcal{L}$ which are GPE, but neither P$^{\infty}$ nor
NP$^{\infty}$-complete. This answers an open... | We determine the computational complexity of approximately counting the total
weight of variable assignments for every complex-weighted NORP constraint
satisfaction problem (or ORG) with any number of additional unary (i.e., arity
CARDINAL) constraints, particularly, when degrees of input instances are bounded from
abo... | 0 |
The article presents an approach to interactively solve multi-objective
optimization problems. While the identification of efficient solutions is
supported by computational intelligence techniques on the basis of local
search, the search is directed by partial preference information obtained from
the decision maker.
... | In the current paper, we present an optimization system solving multi
objective production scheduling problems (MOOPPS). The identification of PERSON
optimal alternatives or at least a close approximation of them is possible by a
set of implemented metaheuristics. Necessary control parameters can easily be
adjusted by ... | 1 |
PERSON in 'The Singularity May Never Be Near' gives CARDINAL arguments to
support his point of view that technological singularity may happen but that it
is unlikely. In this paper, we provide analysis of each CARDINAL of his arguments
and arrive at similar conclusions, but with more weight given to the 'likely to
happ... | This paper proposes an explanation of the cognitive change that occurs as the
creative process proceeds. During the initial, intuitive phase, each thought
activates, and potentially retrieves information from, a large region
containing many memory locations. Because of the distributed,
content-addressable structure of ... | 0 |
Based on our previous work on truly concurrent process algebra, we use it to
unify quantum and classical computing for open and closed ORG systems. This
resulted algebra can be used to verify the behaviors of ORG and classical
computing mixed systems, with a flavor of true concurrency. | This article presents a technique for proving problems hard for classes of
the polynomial hierarchy or for ORG. The rationale of this technique is that
some problem restrictions are able to simulate existential or universal
quantifiers. If this is the case, reductions from ORG
(ORG) to these restrictions can be transfo... | 0 |
In this article, we study the light-flavor scalar and axial-vector diquark
states in the vacuum and in the nuclear matter using the ORG sum rules in an
systematic way, and make reasonable predictions for their masses in the vacuum
and in the nuclear matter. | This paper describes a new method for reducing the error in a classifier. It
uses an error correction update that includes the very simple rule of either
adding or subtracting the error adjustment, based on whether the variable value
is currently larger or smaller than the desired value. While a traditional
neuron woul... | 0 |
We develop the theory and practical implementation of p-adic sparse coding of
data. Rather than the standard, sparsifying criterion that uses the MONEY
pseudo-norm, we use the p-adic norm. We require that the hierarchy or tree be
node-ranked, as is standard practice in agglomerative and other hierarchical
clustering, b... | In a companion paper, ORG (DATE), we discussed how ORG work
linked the unrepressed unconscious (in the human) to symmetric logic and
thought processes. We showed how ultrametric topology provides a most useful
representational and computational framework for this. Now we look at the
extent to which we can find ultramet... | 1 |
An exact solution of the FAC field equations given the barotropic
equation of state $PERSON yields CARDINAL possible models: (CARDINAL) if $MONEY
<-1$, we obtain the most general possible anisotropic model for wormholes
supported by phantom energy and (CARDINAL) if $MONEY >0$, we obtain a model for
galactic rotation cu... | CARDINAL of the mainstays of the controversial "rare LOC" hypothesis is the
"Goldilocks problem" regarding various parameters describing a habitable
planet, partially involving the role of mass extinctions and other catastrophic
processes in biological evolution. Usually, this is construed as support for
the uniqueness... | 0 |
Blind quantum computation is a secure delegated ORG computing protocol
where PERSON who does not have sufficient quantum technology at her disposal
delegates her computation to PERSON who has a fully-fledged ORG computer in
such a way that PERSON cannot learn anything about PERSON's input, output, and
algorithm. Protoc... | Verifiable blind ORG computing is a secure delegated ORG computing
where a client with a limited quantum technology delegates her quantum
computing to a server who has a universal ORG computer. The client's
privacy is protected (blindness) and the correctness of the computation is
verifiable by the client in spite of h... | 1 |
We study clockability for ORG (OTMs). In particular, we
show that, in contrast to the situation for ITTMs, admissible ordinals can be
OTM-clockable, that $\Sigma_{2}$-admissible ordinals are never OTM-clockable
and that gaps in the ORG-clockable ordinals are always started by admissible
limits of admissible ordinals. | The main goal of this paper is to give a pedagogical introduction to ORG-to do this in a new way, using network diagrams called
ORG. A lesser goal of the paper is to propose a few new
ideas, such as associating with each quantum NORP net a very useful density
matrix that we call the meta density matrix. | 0 |
These informal notes consider ORG transforms on a simple class of nice
functions and some basic properties of the PERSON transform. | This paper presents a hypothesis that consciousness is a natural result of
neurons that become connected recursively, and work synchronously between short
and long term memories. Such neurons demonstrate qubit-like properties, each
supporting a probabilistic combination of true and false at a given phase.
Advantages of... | 0 |
We give an algebraic characterization of a form of synchronized parallel
composition allowing for true concurrency, using ideas based on PERSON
"WORK_OF_ART". | Aggregated journal-journal citation networks based on the ORG PRODUCTReports DATE of the Science Citation Index (CARDINAL journals) and ORG (CARDINAL journals) are made accessible from the perspective
of any of these journals. The user is thus able to analyze the citation
environment in terms of links and graphs. Furth... | 0 |
This article expands our work in [Ca16]. By its reliance on Turing
computability, the classical theory of effectivity, along with effective
reducibility and Weihrauch reducibility, is only applicable to objects that are
either countable or can be encoded by countable objects. We propose a notion of
effectivity based on... | By a theorem of Sacks, if a real $x$ is recursive relative to all elements of
a set of positive PERSON measure, $PERSON is recursive. This statement, and the
analogous statement for non-meagerness instead of positive PERSON measure,
have been shown to carry over to many models of transfinite computations. Here,
we star... | 1 |
According to the no-signaling theorem, the nonlocal collapse of the
wavefunction of an entangled particle by the measurement on its twin particle
at a remote location cannot be used to send useful information. Given that
experiments on nonlocal correlations continue to have loopholes, we propose a
stronger principle th... | The Newcomb-Benford Law, which is also called the ORDINAL digit phenomenon, has
applications in diverse phenomena ranging from social and computer networks,
engineering systems, natural sciences, and accounting. In forensics, it has
been used to determine intrusion in a computer server based on the measured
expectation... | 1 |
New to neuroscience with implications for ORG, the exclusive OR, or any other
GPE gate may be biologically accomplished within a single region where
active dendrites merge. This is demonstrated below using dynamic circuit
analysis. Medical knowledge aside, this observation points to the possibility
of specially coated ... | When training deep neural networks, it is typically assumed that the training
examples are uniformly difficult to learn. Or, to restate, it is assumed that
the training error will be uniformly distributed across the training examples.
Based on these assumptions, each training example is used an equal number of
times. H... | 0 |
Both sigma and kappa are well established from PRODUCT data on DATE and
D->K-pi-pi$ and ORG data on J/Psi->omega-pi-pi and PERSON. Fits to these
data are accurately consistent with NORP and PERSON elastic scattering when CARDINAL
allows for the PERSON CARDINAL which arises from ORG. The phase
variation with mass is als... | In production processes, e.g. WORK_OF_ART or ORG ORDINAL, the
sigma and fo(980) overlap in the same partial wave. The conjecture of ORG (ORG) states that the pi-pi pair should have the same phase variation
as pi-pi elastic scattering. This is an extension of PERSON's theorem beyond
its original derivation, which stated... | 1 |
We compute the amplitudes for the insertion of various operators in a quark
CARDINAL-point function at CARDINAL loop in the RI' symmetric momentum scheme, RI'/SMOM.
Specifically we focus on the moments n = CARDINAL and 3 of the flavour non-singlet
twist-2 operators used in deep inelastic scattering as these are require... | Slime mould \emph{Physarum polycephalum} is a large single cell capable for
distributed sensing, concurrent information processing, parallel computation
and decentralised actuation. The ease of culturing and experimenting with
ORG makes this slime mould an ideal substrate for real-world
implementations of unconventiona... | 0 |
In this paper we extend an earlier result within ORG theory
["Fast Dempster-Shafer Clustering Using a Neural Network Structure," in GPE.
ORG. Conf. ORG in
Knowledge-Based Systems (IPMU CARDINAL)] where a large number of pieces of evidence
are clustered into subsets by a neural network structure. The clustering is
done ... | In this paper we study a problem within ORG theory where CARDINAL
pieces of evidence are clustered by a neural structure into n clusters. The
clustering is done by minimizing a metaconflict function. Previously we
developed a method based on iterative optimization. However, for large scale
problems we need a method wit... | 1 |
In the setting of a metric space equipped with a doubling measure supporting
a Poincar\'e inequality, we show that ORG functions are, in the sense of
multiple limits, continuous with respect to a CARDINAL-fine topology, at almost every
point with respect to the codimension CARDINAL Hausdorff measure. | In the setting of a metric space equipped with a doubling measure that
supports a Poincar\'e inequality, we show that a set $MONEY is of finite perimeter
if and only if $\mathcal H(\partial^1 I_E)<\infty$, that is, if and only if the
codimension CARDINAL ORG measure of the \emph{$1$-fine boundary} of the set's
measure ... | 1 |
Recently, it is well recognized that hypothesis testing has deep relations
with other topics in ORG information theory as well as in classical
information theory. These relations enable us to derive precise evaluation in
the finite-length setting. However, such usefulness of hypothesis testing is
not limited to informa... | We construct a universal code for stationary and memoryless classical-quantum
channel as a quantum version of the universal coding by PRODUCT and
K\"{o}rner. Our code is constructed by the combination of irreducible
representation, the decoder introduced through ORG information spectrum,
and the packing lemma. | 1 |
PERSON has proposed that highly excited mesons and baryons fall into parity
doublets, and that the ORG) on the leading Regge trajectory should have a
nearly degenerate PERSON} = CARDINAL} partner. A re-analysis of ORG data
does not support this idea. A likely explanation is that centrifugal barriers
on the leading traj... | The large N_f self-consistency programme is reviewed. As an application the
ORG beta-function is computed at O(1/N_f) and the anomalous dimensions of
polarized twist-2 singlet operators are determined at the same order. | 0 |
We discuss the contribution of diffractive $Q \bar Q$ production to the
longitudinal double-spin asymmetry in polarized deep--inelastic $MONEY
scattering. We show the strong dependence of the $MONEY asymmetry on the
pomeron spin structure. | We study light vector PERSON at small $x$ on the basis of the
generalized parton distribution (ORG). Our results on the cross section and
spin density matrix elements (SDME) are in fair agreement with ORG experiments | 1 |
This chapter discusses the institutional approach for organizing and
maintaining ontologies. The theory of institutions was named and initially
developed by PERSON and PERSON. This theory, a metatheory based on
category theory, regards ontologies as logical theories or local logics. The
theory of institutions uses the ... | The sharing of ontologies between diverse communities of discourse allows
them to compare their own information structures with that of other communities
that share a common terminology and semantics - ontology sharing facilitates
interoperability between online knowledge organizations. This paper
demonstrates how onto... | 1 |
The article presents results of discrete thermodynamics (ORG) basic
application to electrochemical systems. Consistent treatment of the
electrochemical system as comprising CARDINAL interacting subsystems - the chemical
and the electrical (electrochemical) - leads to ln-logistic map of states of
the electrochemical sys... | It is a challenge for any Knowledge Base reasoning to manage ubiquitous
uncertain ontology as well as uncertain updating times, while achieving
acceptable service levels at minimum computational cost. This paper proposes an
application-independent merging ontologies for any open interaction system. A
solution that uses... | 0 |
Statistical mechanics is generalized on the basis of an additive information
theory for incomplete probability distributions. The incomplete normalization
MONEY$ is used to obtain generalized entropy
$S=-k\sum_{i=1}^wp_i^q\ln p_i$. The concomitant incomplete statistical
mechanics is applied to some physical systems in ... | We compute the pole mass of the gluon in GPE from the local composite
operator formalism at CARDINAL loops in the GPE renormalization scheme. For
ORG theory an estimate of the mass at CARDINAL loops is CARDINAL Lambda_MSbar. | 0 |
When simultaneously reasoning with evidences about several different events
it is necessary to separate the evidence according to event. These events
should then be handled independently. However, when propositions of evidences
are weakly specified in the sense that it may not be certain to which event
they are referri... | Toy models have been used to separate important features of quantum
computation from the rich background of the standard PERSON space model.
Category theory, on the other hand, is a general tool to separate components of
mathematical structures, and analyze CARDINAL layer at a time. It seems natural to
combine the CARD... | 0 |
We experimentally demonstrate that supersaturated solution of sodium acetate,
commonly called 'hot ice', is a massively-parallel unconventional computer. In
the hot ice computer data are represented by a spatial configuration of
crystallization induction sites and physical obstacles immersed in the
experimental contain... | Plasmodium of Physarym polycephalum is an ideal biological substrate for
implementing concurrent and parallel computation, including combinatorial
geometry and optimization on graphs. We report results of scoping experiments
on ORG computing in conditions of minimal friction, on the water surface.
We show that plasmodi... | 1 |
Stochastic Gradient Descent (SGD) is arguably the most popular of the machine
learning methods applied to training deep neural networks (DNN) DATE. It has
recently been demonstrated that ORG can be statistically biased so that certain
elements of the training set are learned more rapidly than others. In this
article, w... | Presently, large enterprises rely on database systems to manage their data
and information. These databases are useful for conducting DATE business
transactions. However, the tight competition in the marketplace has led to the
concept of data mining in which data are analyzed to derive effective business
strategies and... | 0 |
The direct long-term changes occurring in the orbital dynamics of a local
gravitationally bound binary system $MONEY due to the NORP tidal
acceleration caused by an external massive source are investigated. A class of
systems made of a test particle $m$ rapidly orbiting with orbital frequency
$PERSON b}$ an astronomica... | An identity between CARDINAL versions of the PERSON bound on the probability a
certain large deviations event, is established. This identity has an
interpretation in statistical physics, namely, an isothermal equilibrium of a
composite system that consists of multiple subsystems of particles. Several
information--theor... | 0 |
PRODUCT and -Logic were defined by the author in
DATE and published for the ORDINAL time in DATE. We extended the neutrosophic set
respectively to ORG {when some neutrosophic component is over
CARDINAL}, ORG {when some neutrosophic component is below CARDINAL}, and to
ORG {when some neutrosophic components are off the ... | The surface air temperature DATE records at the land-based locations with
different climate conditions (from LOC to GPE) have been studied on
the DATE to intraseasonal time scales (low frequency DATE and seasonal
variations have been removed by subtracting a wavelet regression from the daily
records). It is shown that ... | 0 |
It is shown that in turbulent flows the distributed chaos with spontaneously
broken translational space symmetry (homogeneity) has a stretched exponential
spectrum $\exp-(k/k_{\beta})^{\beta }$ with $PERSON =CARDINAL Good agreement has
been established between the theory and the data of direct numerical
simulations of ... | Semantic composition is the task of understanding the meaning of text by
composing the meanings of the individual words in the text. Semantic
decomposition is the task of understanding the meaning of an individual word by
decomposing it into various aspects (factors, constituents, components) that
are latent in the mea... | 0 |
We model anomaly and change in data by embedding the data in an ultrametric
space. Taking our initial data as cross-tabulation counts (or other input data
formats), ORG allows us to endow the information space with
a Euclidean metric. We then model GPE or change by an induced ultrametric.
The induced ultrametric that w... | Behavior modeling and software architecture specification are attracting more
attention in software engineering. Describing both of them in integrated models
yields numerous advantages for coping with complexity since the models are
platform independent. They can be decomposed to be developed independently by
experts o... | 0 |
Modern classical computing devices, except of simplest calculators, have PERSON architecture, i.e., a part of the memory is used for the program and a
part for the data. It is likely, that analogues of such architecture are also
desirable for the future applications in ORG computing, communications and
control. It is a... | It is discussed, why classical simulators of ORG computers escape from
some no-go claims like PERSON, ORG, or recent PERSON" theorems. | 1 |
ORG intelligent systems can be found everywhere: finger print,
handwriting, speech, and face recognition, spam filtering, chess and other game
programs, robots, et al. DATE the ORDINAL presumably complete mathematical
theory of artificial intelligence based on universal
induction-prediction-decision-action has been pro... | This paper studies sequence prediction based on the monotone NORP
complexity NORP m, i.e. based on universal deterministic/CARDINAL-part ORG. m is
extremely close to PERSON's universal prior M, the latter being an
excellent predictor in deterministic as well as probabilistic environments,
where performance is measured ... | 1 |
We consider the wavelet transform of a finite, rooted, node-ranked, $p$-way
tree, focusing on the case of binary ($p = MONEY) trees. We study a ORG wavelet
transform on this tree. Wavelet transforms allow for multiresolution analysis
through translation and dilation of a wavelet function. We explore how this
works in o... | Recurrent neurons, or "simulated" qubits, can store simultaneous true and
false with probabilistic behaviors usually reserved for the qubits of ORG
physics. Although possible to construct artificially, simulated qubits are
intended to explain biological mysteries. It is shown below that they can
simulate certain ORG co... | 0 |
Compressed Counting (ORG), based on maximally skewed stable random
projections, was recently proposed for estimating the p-th frequency moments of
data streams. The case p->1 is extremely useful for estimating FAC entropy
of data streams. In this study, we provide a very simple algorithm based on the
sample minimum est... | We propose skewed stable random projections for approximating the pth
frequency moments of dynamic data streams (0<p<=2), which has been frequently
studied in theoretical computer science and database communities. Our method
significantly (or even infinitely when GPE) improves previous methods based on
(symmetric) stab... | 1 |
The PRODUCT was published in DATE, contains CARDINAL diagnostic categories,
described in CARDINAL pages. The PERSON appeared in DATE, contains CARDINAL diagnostic
categories, described in CARDINAL pages. The field of psychology is characterised by
a steady proliferation of diagnostic models and subcategories, that seem... | We introduce the open-ended, modular, self-improving Omega AI unification
architecture which is a refinement of PERSON's GPE architecture, as
considered from ORDINAL principles. The architecture embodies several crucial
principles of general intelligence including diversity of representations,
diversity of data types, ... | 0 |
This paper discusses in layperson's terms human and computational studies of
the impact of threat and fear on exploration and creativity. A ORDINAL study
showed that both killifish from a lake with predators and from a lake without
predators explore a new environment to the same degree and plotting number of
new spaces... | Creativity is perhaps what most differentiates humans from other species. It
involves the capacity to shift between divergent and convergent modes of
thought in response to task demands. Divergent thought has been characterized
as the kind of thinking needed to generate multiple solutions, while convergent
thought has ... | 1 |
Krentel PERSON System. GPE, DATE, pp.490--509] presented a framework for
an ORG optimization problem that searches an optimal value among
exponentially-many outcomes of polynomial-time computations. This paper expands
his framework to a quantum optimization problem using polynomial-time quantum
computations and introdu... | This paper continues a systematic and comprehensive study on the structural
properties of ORG functions, which are in general multi-valued partial
functions computed by CARDINAL-way CARDINAL-head nondeterministic pushdown automata
equipped with write-only output tapes (or pushdown transducers), where ORG
refers to a re... | 1 |
The work is devoted to ORG) -- the
philosophical/mathematical platform and long-term project for redeveloping
classical logic after replacing truth} by computability in its underlying
semantics (see ORG). This article
elaborates some basic complexity theory for the ORG framework. Then it proves
soundness and completene... | Inductive concept learning is the task of learning to assign cases to a
discrete set of classes. In real-world applications of concept learning, there
are many different types of cost involved. The majority of the machine learning
literature ignores all types of cost (unless accuracy is interpreted as a type
of cost me... | 0 |
We present evidence for the existence of a quantum lower bound on the
PERSON-Hawking temperature of black holes. The suggested bound is supported
by a gedanken experiment in which a charged particle is dropped into a ORG
black hole. It is proved that the temperature of the final ORG
black-hole configuration is bounded ... | The elegant `no short hair' theorem states that, if a spherically-symmetric
static black hole has hair, then this hair must extend beyond CARDINAL the horizon
radius. In the present paper we provide evidence for the failure of this
theorem beyond the regime of spherically-symmetric static black holes. In
particular, we... | 1 |
ORG algorithms are sequences of abstract operations, performed on
non-existent computers. They are in obvious need of categorical semantics. We
present some steps in this direction, following earlier contributions of
LOC, Coecke and Selinger. In particular, we analyze function abstraction
in quantum computation, which ... | The paper gives an account of a detailed investigation of the thermodynamic
branch as a path of the chemical system deviation from its isolated
thermodynamic equilibrium under an external impact. For a combination of direct
and reverse reactions in the same chemical system, full thermodynamic branch is
presented by an ... | 0 |
Let $PERSON be real-valued compactly supported sufficiently smooth function,
$q\in H^\ell_0(B_a)$, $MONEY: |x|\leq a, x\in R^3$ . It is proved that the
scattering data $PERSON,k)$ MONEY S^2$, $\forall k>0CARDINAL
determine $PERSON. here $A(\beta,\alpha,k)$ is the scattering amplitude,
corresponding to the potential $q$... | A simple proof is given for the explicit formula which allows one to recover
a CARDINALMONEY vector field $A=A(x)$ in MONEY, decaying at infinity,
from the knowledge of its $MONEY \times MONEY\nabla \cdot A$. The
representation of $MONEY as a sum of the gradient field and a divergence-free
vector fields is derived from... | 1 |
This paper describes a new mechanism that might help with defining pattern
sequences, by the fact that it can produce an upper bound on the ensemble value
that can persistently oscillate with the actual values produced from each
pattern. With every firing event, a node also receives an on/off feedback
switch. If the no... | This paper describes an automatic process for combining patterns and
features, to guide a search process and make predictions. It is based on the
functionality that a human brain might have, which is a highly distributed
network of simple neuronal components that can apply some level of matching and
cross-referencing o... | 1 |
In DATE, deep artificial neural networks (including recurrent ones)
have won numerous contests in pattern recognition and machine learning. This
historical survey compactly summarises relevant work, much of it from the
previous millennium. Shallow and deep learners are distinguished by the depth
of their credit assignm... | The probability distribution P from which the history of our universe is
sampled represents a theory of everything or ORG. We assume P is formally
describable. Since most (uncountably many) distributions are not, this imposes
a strong inductive bias. We show that P(x) is small for any universe x lacking
a short descrip... | 1 |
We present a formula that relates the variations of the area of extreme
throat initial data with the variation of an appropriate defined mass
functional. From this expression we deduce that the ORDINAL variation, with fixed
angular momentum, of the area is CARDINAL and the ORDINAL variation is positive
definite evaluat... | This paper considers the relevance of the concepts of observability and
computability in physical theory. Observability is related to verifiability
which is essential for effective computing and as physical systems are
computational systems it is important even where explicit computation is not
the goal. Specifically, ... | 0 |
Steganography is the science of hiding digital information in such a way that
no one can suspect its existence. Unlike cryptography which may arouse
suspicions, steganography is a stealthy method that enables data communication
in total secrecy. Steganography has many requirements, the foremost one is
irrecoverability ... | A definition of causality introduced by ORG and GPE, which uses
structural equations, is reviewed. A more refined definition is then
considered, which takes into account issues of normality and typicality, which
are well known to affect causal ascriptions. Causality is typically an
all-or-nothing notion: either A is a ... | 0 |
The paper describes some basic approaches to detection of bottlenecks in
composite (modular) systems. The following basic system bottlenecks detection
problems are examined: (CARDINAL) traditional quality management approaches (Pareto
chart based method, multicriteria analysis as selection of Pareto-efficient
points, a... | This paper addresses the problem of measurement errors in causal inference
and highlights several algebraic and graphical methods for eliminating
systematic bias induced by such errors. In particulars, the paper discusses the
control of partially observable confounders in parametric and non parametric
models and the co... | 0 |
In the process of recording, storage and transmission of time-domain audio
signals, errors may be introduced that are difficult to correct in an
unsupervised way. Here, we train a convolutional deep neural network to
re-synthesize input time-domain speech signals at its output layer. We then use
this abstract transform... | Deep neural networks (DNN) abstract by demodulating the output of linear
filters. In this article, we refine this definition of abstraction to show that
the inputs of a DNN are abstracted with respect to the filters. Or, to restate,
the abstraction is qualified by the filters. This leads us to introduce the
notion of q... | 1 |
Reductionism has dominated science and philosophy for DATE. Complexity
has recently shown that interactions---which reductionism neglects---are
relevant for understanding phenomena. When interactions are considered,
reductionism becomes limited in several aspects. In this paper, I argue that
interactions imply non-redu... | The scope of this teaching package is to make a brief induction to ORG (ANNs) for people who have no previous knowledge of them. We
ORDINAL make a brief introduction to models of networks, for then describing in
general terms ANNs. As an application, we explain the backpropagation
algorithm, since it is widely used and... | 1 |
A novel linking mechanism has been described previously [CARDINAL] that can be used
to autonomously link sources that provide related answers to queries executed
over an information network. The test query platform has now been re-written
resulting in essentially a new test platform using the same basic query
mechanism... | Concept Trees are a type of database that can organise arbitrary textual
information using a very simple rule. Each tree ideally represents a single
cohesive concept and the trees can link with each other for navigation and
semantic purposes. The trees are therefore a type of semantic network and would
benefit from hav... | 1 |
Despite its size and complexity, the human cortex exhibits striking
anatomical regularities, suggesting there may simple meta-algorithms underlying
cortical learning and computation. We expect such meta-algorithms to be of
interest since they need to operate quickly, scalably and effectively with
little-to-no specializ... | We consider a FAC setup where an agent interacts with an
environment in observation-reward-action cycles without any (esp.\ ORG)
assumptions on the environment. State aggregation and more generally feature
reinforcement learning is concerned with mapping histories/raw-states to
reduced/aggregated states. The idea behin... | 0 |
The paper examines the problem of accessing a vector memory from a single
neuron in a NORP neural network. It begins with the review of the author's
earlier method, which is different from the GPE model in that it recruits
neighboring neurons by spreading activity, making it possible for single or
group of neurons to b... | An ultrametric topology formalizes the notion of hierarchical structure. An
ultrametric embedding, referred to here as ultrametricity, is implied by a
hierarchical embedding. Such hierarchical structure can be global in the data
set, or local. By quantifying extent or degree of ultrametricity in a data set,
we show tha... | 0 |
The theory of controlled ORG open systems describes ORG systems
interacting with ORG environments and influenced by external forces varying
according to given algorithms. It is aimed, for instance, to model quantum
devices which can find applications in the future technology based on quantum
information processing. CAR... | In this paper a knowledge representation model are proposed, FP5, which
combine the ideas from fuzzy sets and penta-valued logic. FP5 represents
imprecise properties whose accomplished degree is undefined, contradictory or
indeterminate for some objects. Basic operations of conjunction, disjunction
and negation are int... | 0 |
We show by example that the associative law does not hold for tensor products
in the category of general (not necessarily locally convex) topological vector
spaces. The same pathology occurs for tensor products of ORG abelian
topological groups. | In categorical quantum mechanics, classical structures characterize the
classical interfaces of quantum resources on one hand, while on the other hand
giving rise to some quantum phenomena. In the standard PERSON space model of
quantum theories, classical structures over a space correspond to its
orthonormal bases. In ... | 0 |
We give necessary and sufficient conditions under which a density matrix
acting on a CARDINAL tensor product space is separable. Our conditions are
given in terms of ORG. | DATE has seen the nascency of the ORDINAL
mathematical theory of general artificial intelligence. This theory of
ORG (ORG) has made significant contributions to
many theoretical, philosophical, and practical AI questions. In a series of
papers culminating in book (GPE, DATE), an exciting sound and complete
mathematical... | 0 |
A plethora of natural, artificial and social systems exist which do not
belong to FAC (GPE) statistical-mechanical world, based on the
standard additive entropy $PERSON and its associated exponential GPE factor.
Frequent behaviors in such complex systems have been shown to be closely
related to $q$-statistics instead, ... | Decision theory formally solves the problem of rational agents in uncertain
worlds if the true environmental prior probability distribution is known.
PERSON's theory of universal induction formally solves the problem of
sequence prediction for unknown prior distribution. We combine both ideas and
get a parameterless th... | 0 |
These informal notes briefly discuss some basic topics in harmonic analysis
along the lines of convolutions and PERSON transforms. | These informal notes are concerned with spaces of functions in various
situations, including continuous functions on topological spaces, holomorphic
functions of CARDINAL or more complex variables, and so on. | 1 |
Data based judgments go into artificial intelligence applications but they
undergo paradoxical reversal when seemingly unnecessary additional data is
provided. Examples of this are PERSON's reversal and the disjunction effect
where the beliefs about the data change once it is presented or aggregated
differently. Someti... | Recently, PERSON and coworkers have been able to measure the information
content of digital organisms living in their {\em Avida} artificial life
system. They show that over time, the organisms behave like ORG's demon,
accreting information (or complexity) as they evolve. In {\em Avida} the
organisms don't interact wit... | 0 |
The orbital dynamics of a test particle moving in the non-spherically
symmetric field of a rotating oblate primary is impacted also by certain
indirect, mixed effects arising from the interplay of the different NORP
and NORP accelerations which induce known direct perturbations. We
systematically calculate the indirect... | It has often been claimed that the proposed LOC artificial satellite
LARES/WEBER-SAT-whose primary goal is, in fact, the measurement of the general
relativistic PERSON effect at a some percent level-would allow to
greatly improve, among (many) other things, the present-day (10^-13) level of
accuracy in testing the equi... | 1 |
In this paper, we define a new information theoretic measure that we call the
"uprooted information". We show that a necessary and sufficient condition for a
probability $P(s|do(t))$ to be "identifiable" (in the sense of GPE) in a
graph $MONEY is that its uprooted information be non-negative for all models of
the graph... | In a previous paper, we described a computer program called Qubiter which can
decompose an arbitrary unitary matrix into elementary operations of the type
used in quantum computation. In this paper, we describe a method of reducing
the number of elementary operations in such decompositions. | 1 |
This presentation's Part CARDINAL studies the evolutionary information processes and
regularities of evolution dynamics, evaluated by an entropy functional (EF) of
a random field (modeled by a diffusion information process) and an
informational path functional (ORG) on trajectories of the related dynamic
process (DATE)... | Hidden information emerges under impulse interactions with PERSON diffusion
process modeling interactive random environment. Impulse yes no action cuts
PERSON correlations revealing Bit of hidden information connected correlated
states. Information appears phenomenon of interaction cutting correlations
carrying entropy... | 1 |
In this article, we construct the axialvector-diquark-axialvector-antidiquark
type tensor current to interpolate both the vector and axialvector tetraquark
states, then calculate the contributions of the vacuum condensates up to
dimension-10 in the operator product expansion, and obtain the ORG sum rules
for both the v... | ORG called also ORG (ORG) is
known as a foundation for reasoning when knowledge is expressed at various
levels of detail. Though much research effort has been committed to this theory
since its foundation, many questions remain open. CARDINAL of the most important
open questions seems to be the relationship between fre... | 0 |
This paper initiates a systematic study of ORG functions, which are
(partial) functions defined in terms of quantum mechanical computations. Of all
quantum functions, we focus on resource-bounded quantum functions whose inputs
are classical bit strings. We prove complexity-theoretical properties and
unique characterist... | The present article introduces ptarithmetic (short for "polynomial time
arithmetic") -- a formal number theory similar to the well known Peano
arithmetic, but based on the recently born computability logic (see
ORG) instead of classical logic. The
formulas of ptarithmetic represent interactive computational problems ra... | 0 |
We implement PERSON machine on a plasmodium of true slime mold
{\em Physarum polycephalum}. We provide experimental findings on realization of
the machine instructions, illustrate basic operations, and elements of
programming. | A phyllosilicate is a sheet of silicate tetrahedra bound by basal oxygens. A
phyllosilicate PERSON is a regular network of finite state machines ---
silicon nodes and oxygen nodes --- which mimics structure of the
phyllosilicate. A node takes states CARDINAL and CARDINAL. Each node updates its state in
discrete time de... | 1 |
The paper sets forth comprehensive basics of WORK_OF_ARTPERSON (ORG), developed by the author during DATE and
spread over series of publications. Based on the linear equations of
irreversible thermodynamics, ORG definition of the thermodynamic force,
and FAC principle, ORG brings forward a notion of chemical
equilibriu... | The method of "random PERSON features (ORG)" has become a popular tool for
approximating the "radial basis function (ORG)" kernel. The variance of ORG is
actually large. Interestingly, the variance can be substantially reduced by a
simple normalization step as we theoretically demonstrate. We name the improved
scheme a... | 0 |
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