title stringlengths 7 239 | abstract stringlengths 7 2.76k | cs int64 0 1 | phy int64 0 1 | math int64 0 1 | stat int64 0 1 | quantitative biology int64 0 1 | quantitative finance int64 0 1 |
|---|---|---|---|---|---|---|---|
Diversified essential properties in halogenated graphenes | The significant halogenation effects on the essential properties of graphene
are investigated by the first-principles method. The geometric structures,
electronic properties, and magnetic configurations are greatly diversified
under the various halogen adsorptions. Fluorination, with the strong
multi-orbital chemical... | 0 | 1 | 0 | 0 | 0 | 0 |
Quantifying genuine multipartite correlations and their pattern complexity | We propose an information-theoretic framework to quantify multipartite
correlations in classical and quantum systems, answering questions such as:
what is the amount of seven-partite correlations in a given state of ten
particles? We identify measures of genuine multipartite correlations, i.e.
statistical dependencie... | 0 | 1 | 0 | 0 | 0 | 0 |
Pulsating low-mass white dwarfs in the frame of new evolutionary sequences: IV. The secular rate of period change | We present a theoretical assessment of the expected temporal rates of change
of periods ($\dot{\Pi}$) for low-mass ($M_{\star}/M_{\sun} \lesssim 0.45$) and
extremely low-mass (ELM, $M_{\star}/M_{\sun} \lesssim 0.18-0.20$) white-dwarf
stars, based on fully evolutionary low-mass He-core white dwarf and pre-white
dwarf ... | 0 | 1 | 0 | 0 | 0 | 0 |
Normalized Maximum Likelihood with Luckiness for Multivariate Normal Distributions | The normalized maximum likelihood (NML) is one of the most important
distribution in coding theory and statistics. NML is the unique solution (if
exists) to the pointwise minimax regret problem. However, NML is not defined
even for simple family of distributions such as the normal distributions. Since
there does not ... | 0 | 0 | 1 | 1 | 0 | 0 |
Tackling Diversity and Heterogeneity by Vertical Memory Management | Existing memory management mechanisms used in commodity computing machines
typically adopt hardware based address interleaving and OS directed random
memory allocation to service generic application requests. These conventional
memory management mechanisms are challenged by contention at multiple memory
levels, a dau... | 1 | 0 | 0 | 0 | 0 | 0 |
From the Icosahedron to E8 | The regular icosahedron is connected to many exceptional objects in
mathematics. Here we describe two constructions of the $\mathrm{E}_8$ lattice
from the icosahedron. One uses a subring of the quaternions called the
"icosians", while the other uses du Val's work on the resolution of Kleinian
singularities. Together ... | 0 | 0 | 1 | 0 | 0 | 0 |
Sequential Discrete Kalman Filter for Real-Time State Estimation in Power Distribution Systems: Theory and Implementation | This paper demonstrates the feasibility of implementing Real-Time State
Estimators (RTSEs) for Active Distribution Networks (ADNs) in
Field-Programmable Gate Arrays (FPGAs) by presenting an operational prototype.
The prototype is based on a Linear State Estimator (LSE) that uses
synchrophasor measurements from Phasor... | 0 | 0 | 0 | 1 | 0 | 0 |
Game-Theoretic Semantics for ATL+ with Applications to Model Checking | We develop game-theoretic semantics (GTS) for the fragment ATL+ of the full
Alternating-time Temporal Logic ATL*, essentially extending a recently
introduced GTS for ATL. We first show that the new game-theoretic semantics is
equivalent to the standard semantics of ATL+ (based on perfect recall
strategies). We then p... | 1 | 0 | 1 | 0 | 0 | 0 |
Killing Three Birds with one Gaussian Process: Analyzing Attack Vectors on Classification | The wide usage of Machine Learning (ML) has lead to research on the attack
vectors and vulnerability of these systems. The defenses in this area are
however still an open problem, and often lead to an arms race. We define a
naive, secure classifier at test time and show that a Gaussian Process (GP) is
an instance of ... | 0 | 0 | 0 | 1 | 0 | 0 |
Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis | We analyse a linear regression problem with nonconvex regularization called
smoothly clipped absolute deviation (SCAD) under an overcomplete Gaussian basis
for Gaussian random data. We propose an approximate message passing (AMP)
algorithm considering nonconvex regularization, namely SCAD-AMP, and
analytically show t... | 1 | 0 | 0 | 1 | 0 | 0 |
Concurrence Topology of Some Cancer Genomics Data | The topological data analysis method "concurrence topology" is applied to
mutation frequencies in 69 genes in glioblastoma data. In dimension 1 some
apparent "mutual exclusivity" is found. By simulation of data having
approximately the same second order dependence structure as that found in the
data, it appears that ... | 0 | 0 | 0 | 1 | 0 | 0 |
Quasimomentum of an elementary excitation for a system of point bosons with zero boundary conditions | As is known, an elementary excitation of a many-particle system with
boundaries is not characterized by a definite momentum. Here, we obtain the
formula for the quasimomentum of an elementary excitation for a one-dimensional
system of $N$ spinless point bosons with zero boundary conditions (BCs). We
also find that th... | 0 | 1 | 0 | 0 | 0 | 0 |
Moving to VideoKifu: the last steps toward a fully automatic record-keeping of a Go game | In a previous paper [ arXiv:1508.03269 ] we described the techniques we
successfully employed for automatically reconstructing the whole move sequence
of a Go game by means of a set of pictures. Now we describe how it is possible
to reconstruct the move sequence by means of a video stream (which may be
provided by an... | 1 | 0 | 0 | 0 | 0 | 0 |
Malware Detection by Eating a Whole EXE | In this work we introduce malware detection from raw byte sequences as a
fruitful research area to the larger machine learning community. Building a
neural network for such a problem presents a number of interesting challenges
that have not occurred in tasks such as image processing or NLP. In particular,
we note tha... | 1 | 0 | 0 | 1 | 0 | 0 |
On the Complexity of Model Checking for Syntactically Maximal Fragments of the Interval Temporal Logic HS with Regular Expressions | In this paper, we investigate the model checking (MC) problem for Halpern and
Shoham's interval temporal logic HS. In the last years, interval temporal logic
MC has received an increasing attention as a viable alternative to the
traditional (point-based) temporal logic MC, which can be recovered as a
special case. Mo... | 1 | 0 | 0 | 0 | 0 | 0 |
Deforming 3-manifolds of bounded geometry and uniformly positive scalar curvature | We prove that the moduli space of complete Riemannian metrics of bounded
geometry and uniformly positive scalar curvature on an orientable 3-manifold is
path-connected. This generalizes the main result of the fourth author [Mar12]
in the compact case. The proof uses Ricci flow with surgery as well as
arguments involv... | 0 | 0 | 1 | 0 | 0 | 0 |
Optimal and Myopic Information Acquisition | We consider the problem of optimal dynamic information acquisition from many
correlated information sources. Each period, the decision-maker jointly takes
an action and allocates a fixed number of observations across the available
sources. His payoff depends on the actions taken and on an unknown state. In
the canoni... | 1 | 0 | 1 | 1 | 0 | 0 |
Infinitely many minimal classes of graphs of unbounded clique-width | The celebrated theorem of Robertson and Seymour states that in the family of
minor-closed graph classes, there is a unique minimal class of graphs of
unbounded tree-width, namely, the class of planar graphs. In the case of
tree-width, the restriction to minor-closed classes is justified by the fact
that the tree-widt... | 1 | 0 | 1 | 0 | 0 | 0 |
A Passivity-Based Approach to Nash Equilibrium Seeking over Networks | In this paper we consider the problem of distributed Nash equilibrium (NE)
seeking over networks, a setting in which players have limited local
information. We start from a continuous-time gradient-play dynamics that
converges to an NE under strict monotonicity of the pseudo-gradient and assumes
perfect information, ... | 0 | 0 | 1 | 0 | 0 | 0 |
Magnetic and dielectric investigations of $γ$ - Fe${_2}$WO${_6}$ | The magnetic, thermodynamic and dielectric properties of the $\gamma$ -
Fe${_2}$WO${_6}$ system is reported. Crystallizing in the centrosymmetric
$Pbcn$ space group, this particular polymorph exhibits a number of different
magnetic transitions, all of which are seen to exhibit a finite
magneto-dielectric coupling. At... | 0 | 1 | 0 | 0 | 0 | 0 |
Linear centralization classifier | A classification algorithm, called the Linear Centralization Classifier
(LCC), is introduced. The algorithm seeks to find a transformation that best
maps instances from the feature space to a space where they concentrate towards
the center of their own classes, while maximimizing the distance between class
centers. W... | 1 | 0 | 0 | 1 | 0 | 0 |
Spatio-temporal Person Retrieval via Natural Language Queries | In this paper, we address the problem of spatio-temporal person retrieval
from multiple videos using a natural language query, in which we output a tube
(i.e., a sequence of bounding boxes) which encloses the person described by the
query. For this problem, we introduce a novel dataset consisting of videos
containing... | 1 | 0 | 0 | 0 | 0 | 0 |
Thermo-elasto-plastic simulations of femtosecond laser-induced multiple-cavity in fused silica | The formation and the interaction of multiple cavities, induced by tightly
focused femtosecond laser pulses, are studied by using a developed numerical
tool, including the thermo-elasto-plastic material response. Simulations are
performed in fused silica in cases of one, two, and four spots of laser energy
deposition... | 0 | 1 | 0 | 0 | 0 | 0 |
Efficient and Accurate Machine-Learning Interpolation of Atomic Energies in Compositions with Many Species | Machine-learning potentials (MLPs) for atomistic simulations are a promising
alternative to conventional classical potentials. Current approaches rely on
descriptors of the local atomic environment with dimensions that increase
quadratically with the number of chemical species. In this article, we
demonstrate that su... | 0 | 1 | 0 | 0 | 0 | 0 |
Randomized Constraints Consensus for Distributed Robust Linear Programming | In this paper we consider a network of processors aiming at cooperatively
solving linear programming problems subject to uncertainty. Each node only
knows a common cost function and its local uncertain constraint set. We propose
a randomized, distributed algorithm working under time-varying, asynchronous
and directed... | 0 | 0 | 1 | 0 | 0 | 0 |
Continuum limit of the vibrational properties of amorphous solids | The low-frequency vibrational and low-temperature thermal properties of
amorphous solids are markedly different from those of crystalline solids. This
situation is counter-intuitive because any solid material is expected to behave
as a homogeneous elastic body in the continuum limit, in which vibrational
modes are ph... | 0 | 1 | 0 | 0 | 0 | 0 |
Existence of smooth solutions of multi-term Caputo-type fractional differential equations | This paper deals with the initial value problem for the multi-term fractional
differential equation. The fractional derivative is defined in the Caputo
sense. Firstly the initial value problem is transformed into a equivalent
Volterra-type integral equation under appropriate assumptions. Then new
existence results fo... | 0 | 0 | 1 | 0 | 0 | 0 |
Classes of elementary function solutions to the CEV model. I | The CEV model subsumes some of the previous option pricing models. An
important parameter in the model is the parameter b, the elasticity of
volatility. For b=0, b=-1/2, and b=-1 the CEV model reduces respectively to the
BSM model, the square-root model of Cox and Ross, and the Bachelier model. Both
in the case of th... | 0 | 0 | 0 | 0 | 0 | 1 |
Congruent families and invariant tensors | Classical results of Chentsov and Campbell state that -- up to constant
multiples -- the only $2$-tensor field of a statistical model which is
invariant under congruent Markov morphisms is the Fisher metric and the only
invariant $3$-tensor field is the Amari-Chentsov tensor. We generalize this
result for arbitrary d... | 0 | 0 | 1 | 1 | 0 | 0 |
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges | Smartphones have become the most pervasive devices in people's lives, and are
clearly transforming the way we live and perceive technology. Today's
smartphones benefit from almost ubiquitous Internet connectivity and come
equipped with a plethora of inexpensive yet powerful embedded sensors, such as
accelerometer, gy... | 1 | 0 | 0 | 0 | 0 | 0 |
SimBlock: A Blockchain Network Simulator | Blockchain, which is a technology for distributedly managing ledger
information over multiple nodes without a centralized system, has elicited
increasing attention. Performing experiments on actual blockchains are
difficult because a large number of nodes in wide areas are necessary. In this
study, we developed a blo... | 1 | 0 | 0 | 0 | 0 | 0 |
Bayesian Fused Lasso regression for dynamic binary networks | We propose a multinomial logistic regression model for link prediction in a
time series of directed binary networks. To account for the dynamic nature of
the data we employ a dynamic model for the model parameters that is strongly
connected with the fused lasso penalty. In addition to promoting sparseness,
this prior... | 0 | 0 | 0 | 1 | 0 | 0 |
Indefinite Kernel Logistic Regression | Traditionally, kernel learning methods requires positive definitiveness on
the kernel, which is too strict and excludes many sophisticated similarities,
that are indefinite, in multimedia area. To utilize those indefinite kernels,
indefinite learning methods are of great interests. This paper aims at the
extension of... | 1 | 0 | 0 | 1 | 0 | 0 |
Microstructure and thickening of dense suspensions under extensional and shear flows | Dense suspensions are non-Newtonian fluids which exhibit strong shear
thickening and normal stress differences. Using numerical simulation of
extensional and shear flows, we investigate how rheological properties are
determined by the microstructure which is built under flows and by the
interactions between particles... | 0 | 1 | 0 | 0 | 0 | 0 |
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots | One of the open challenges in designing robots that operate successfully in
the unpredictable human environment is how to make them able to predict what
actions they can perform on objects, and what their effects will be, i.e., the
ability to perceive object affordances. Since modeling all the possible world
interact... | 1 | 0 | 0 | 1 | 0 | 0 |
Rewriting in Free Hypergraph Categories | We study rewriting for equational theories in the context of symmetric
monoidal categories where there is a separable Frobenius monoid on each object.
These categories, also called hypergraph categories, are increasingly relevant:
Frobenius structures recently appeared in cross-disciplinary applications,
including th... | 1 | 0 | 0 | 0 | 0 | 0 |
Weighting Scheme for a Pairwise Multi-label Classifier Based on the Fuzzy Confusion Matrix | In this work we addressed the issue of applying a stochastic classifier and a
local, fuzzy confusion matrix under the framework of multi-label
classification. We proposed a novel solution to the problem of correcting label
pairwise ensembles. The main step of the correction procedure is to compute
classifier-specific... | 1 | 0 | 0 | 1 | 0 | 0 |
Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank | Wilcoxon Rank-based tests are distribution-free alternatives to the popular
two-sample and paired t-tests. For independent data, they are available in
several R packages such as stats and coin. For clustered data, in spite of the
recent methodological developments, there did not exist an R package that makes
them ava... | 0 | 0 | 0 | 1 | 0 | 0 |
Latent heterogeneous multilayer community detection | We propose a method for simultaneously detecting shared and unshared
communities in heterogeneous multilayer weighted and undirected networks. The
multilayer network is assumed to follow a generative probabilistic model that
takes into account the similarities and dissimilarities between the
communities. We make use ... | 1 | 0 | 0 | 1 | 0 | 0 |
Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection | In this paper, we analyze the behavior of the multivariate symmetric
uncertainty (MSU) measure through the use of statistical simulation techniques
under various mixes of informative and non-informative randomly generated
features. Experiments show how the number of attributes, their cardinalities,
and the sample siz... | 1 | 0 | 0 | 1 | 0 | 0 |
Approximation Dynamics | We describe the approximation of a continuous dynamical system on a p. l.
manifold or Cantor set by a tractable system. A system is tractable when it has
a finite number of chain components and, with respect to a given full
background measure, almost every point is generic for one of a finite number of
ergodic invari... | 0 | 0 | 1 | 0 | 0 | 0 |
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance | The Wasserstein distance between two probability measures on a metric space
is a measure of closeness with applications in statistics, probability, and
machine learning. In this work, we consider the fundamental question of how
quickly the empirical measure obtained from $n$ independent samples from $\mu$
approaches ... | 0 | 0 | 1 | 1 | 0 | 0 |
Ensuring patients privacy in a cryptographic-based-electronic health records using bio-cryptography | Several recent works have proposed and implemented cryptography as a means to
preserve privacy and security of patients health data. Nevertheless, the
weakest point of electronic health record (EHR) systems that relied on these
cryptographic schemes is key management. Thus, this paper presents the
development of priv... | 1 | 0 | 0 | 0 | 0 | 0 |
A Dynamically Reconfigurable Terahertz Array Antenna for Near-field Imaging Applications | A proof of concept for high speed near-field imaging with sub-wavelength
resolution using SLM is presented. An 8 channel THz detector array antenna with
an electrode gap of 100 um and length of 5 mm is fabricated using the
commercially available GaAs semiconductor substrate. Each array antenna can be
excited simultan... | 0 | 1 | 0 | 0 | 0 | 0 |
Stationary C*-dynamical systems | We introduce the notion of stationary actions in the context of C*-algebras.
We develop the basics of the theory, and provide applications to several
ergodic theoretical and operator algebraic rigidity problems.
| 0 | 0 | 1 | 0 | 0 | 0 |
The impact of imbalanced training data on machine learning for author name disambiguation | In supervised machine learning for author name disambiguation, negative
training data are often dominantly larger than positive training data. This
paper examines how the ratios of negative to positive training data can affect
the performance of machine learning algorithms to disambiguate author names in
bibliographi... | 0 | 0 | 0 | 1 | 0 | 0 |
SIGNet: Scalable Embeddings for Signed Networks | Recent successes in word embedding and document embedding have motivated
researchers to explore similar representations for networks and to use such
representations for tasks such as edge prediction, node label prediction, and
community detection. Such network embedding methods are largely focused on
finding distribu... | 1 | 0 | 0 | 1 | 0 | 0 |
Spread of hate speech in online social media | The present online social media platform is afflicted with several issues,
with hate speech being on the predominant forefront. The prevalence of online
hate speech has fueled horrific real-world hate-crime such as the mass-genocide
of Rohingya Muslims, communal violence in Colombo and the recent massacre in
the Pitt... | 1 | 0 | 0 | 0 | 0 | 0 |
GOOWE: Geometrically Optimum and Online-Weighted Ensemble Classifier for Evolving Data Streams | Designing adaptive classifiers for an evolving data stream is a challenging
task due to the data size and its dynamically changing nature. Combining
individual classifiers in an online setting, the ensemble approach, is a
well-known solution. It is possible that a subset of classifiers in the
ensemble outperforms oth... | 1 | 0 | 0 | 0 | 0 | 0 |
Graph Product Multilayer Networks: Spectral Properties and Applications | This paper aims to establish theoretical foundations of graph product
multilayer networks (GPMNs), a family of multilayer networks that can be
obtained as a graph product of two or more factor networks. Cartesian, direct
(tensor), and strong product operators are considered, and then generalized. We
first describe ma... | 1 | 1 | 0 | 0 | 0 | 0 |
Multilayer flows in molecular networks identify biological modules in the human proteome | A variety of complex systems exhibit different types of relationships
simultaneously that can be modeled by multiplex networks. A typical problem is
to determine the community structure of such systems that, in general, depend
on one or more parameters to be tuned. In this study we propose one measure,
grounded on in... | 0 | 0 | 0 | 0 | 1 | 0 |
Using Artificial Neural Networks (ANN) to Control Chaos | Controlling Chaos could be a big factor in getting great stable amounts of
energy out of small amounts of not necessarily stable resources. By definition,
Chaos is getting huge changes in the system's output due to unpredictable small
changes in initial conditions, and that means we could take advantage of this
fact ... | 1 | 1 | 0 | 0 | 0 | 0 |
Glassy quantum dynamics in translation invariant fracton models | We investigate relaxation in the recently discovered "fracton" models and
discover that these models naturally host glassy quantum dynamics in the
absence of quenched disorder. We begin with a discussion of "type I" fracton
models, in the taxonomy of Vijay, Haah, and Fu. We demonstrate that in these
systems, the mobi... | 0 | 1 | 0 | 0 | 0 | 0 |
Saliency Guided Hierarchical Robust Visual Tracking | A saliency guided hierarchical visual tracking (SHT) algorithm containing
global and local search phases is proposed in this paper. In global search, a
top-down saliency model is novelly developed to handle abrupt motion and
appearance variation problems. Nineteen feature maps are extracted first and
combined with on... | 1 | 0 | 0 | 0 | 0 | 0 |
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images | The present study shows that the performance of CNN is not significantly
different from the best classical methods and human doctors for classifying
mediastinal lymph node metastasis of NSCLC from PET/CT images. Because CNN does
not need tumor segmentation or feature calculation, it is more convenient and
more object... | 1 | 1 | 0 | 0 | 0 | 0 |
A Semantics for Probabilistic Control-Flow Graphs | This article develops a novel operational semantics for probabilistic
control-flow graphs (pCFGs) of probabilistic imperative programs with random
assignment and "observe" (or conditioning) statements. The semantics transforms
probability distributions (on stores) as control moves from one node to another
in pCFGs. W... | 1 | 0 | 0 | 0 | 0 | 0 |
Generalized Slow Roll in the Unified Effective Field Theory of Inflation | We provide a compact and unified treatment of power spectrum observables for
the effective field theory (EFT) of inflation with the complete set of
operators that lead to second-order equations of motion in metric perturbations
in both space and time derivatives, including Horndeski and GLPV theories. We
relate the E... | 0 | 1 | 0 | 0 | 0 | 0 |
MgO thickness-induced spin reorientation transition in Co0.9Fe0.1/MgO/Co0.9Fe0.1 structure | The magnetic anisotropy (MA) of Mo/Au/Co0.9Fe0.1/Au/MgO(0.7 - 3
nm)/Au/Co0.9Fe0.1/Au heterostructure has been investigated at room temperature
as a function of MgO layer thickness (tMgO). Our studies show that while the MA
of the top layer does not change its character upon variation of tMgO, the
uniaxial out-of-plan... | 0 | 1 | 0 | 0 | 0 | 0 |
Bjerrum Pairs in Ionic Solutions: a Poisson-Boltzmann Approach | Ionic solutions are often regarded as fully dissociated ions dispersed in a
polar solvent. While this picture holds for dilute solutions, at higher ionic
concentrations, oppositely charged ions can associate into dimers, referred to
as Bjerrum pairs. We consider the formation of such pairs within the nonlinear
Poisso... | 0 | 1 | 0 | 0 | 0 | 0 |
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding | Network embedding methodologies, which learn a distributed vector
representation for each vertex in a network, have attracted considerable
interest in recent years. Existing works have demonstrated that vertex
representation learned through an embedding method provides superior
performance in many real-world applicat... | 0 | 0 | 0 | 1 | 0 | 0 |
Pairwise $k$-Semi-Stratifiable Bispaces and Topological Ordered Spaces | In this paper, we continue to study pairwise ($k$-semi-)stratifiable
bitopological spaces. Some new characterizations of pairwise
$k$-semi-stratifiable bitopological spaces are provided. Relationships between
pairwise stratifiable and pairwise $k$-semi-stratifiable bitopological spaces
are further investigated, and a... | 0 | 0 | 1 | 0 | 0 | 0 |
Ontology based system to guide internship assignment process | Internship assignment is a complicated process for universities since it is
necessary to take into account a multiplicity of variables to establish a
compromise between companies' requirements and student competencies acquired
during the university training. These variables build up a complex relations
map that requi... | 1 | 0 | 0 | 0 | 0 | 0 |
Vacancy-driven extended stability of cubic metastable Ta-Al-N and Nb-Al-N phases | Quantum mechanical calculations had been previously applied to predict phase
stability in many ternary and multinary nitride systems. While the predictions
were very accurate for the Ti-Al-N system, some discrepancies between theory
and experiment were obtained in the case of other systems. Namely, in the case
of Ta-... | 0 | 1 | 0 | 0 | 0 | 0 |
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation | This paper addresses the question: Why do neural dialog systems generate
short and meaningless replies? We conjecture that, in a dialog system, an
utterance may have multiple equally plausible replies, causing the deficiency
of neural networks in the dialog application. We propose a systematic way to
mimic the dialog... | 1 | 0 | 0 | 0 | 0 | 0 |
Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain | In this paper we tackle the problem of visually predicting surface friction
for environments with diverse surfaces, and integrating this knowledge into
biped robot locomotion planning. The problem is essential for autonomous robot
locomotion since diverse surfaces with varying friction abound in the real
world, from ... | 1 | 0 | 0 | 0 | 0 | 0 |
Non-Archimedean Replicator Dynamics and Eigen's Paradox | We present a new non-Archimedean model of evolutionary dynamics, in which the
genomes are represented by p-adic numbers. In this model the genomes have a
variable length, not necessarily bounded, in contrast with the classical models
where the length is fixed. The time evolution of the concentration of a given
genome... | 0 | 0 | 0 | 0 | 1 | 0 |
D-optimal design for multivariate polynomial regression via the Christoffel function and semidefinite relaxations | We present a new approach to the design of D-optimal experiments with
multivariate polynomial regressions on compact semi-algebraic design spaces. We
apply the moment-sum-of-squares hierarchy of semidefinite programming problems
to solve numerically and approximately the optimal design problem. The geometry
of the de... | 0 | 0 | 1 | 1 | 0 | 0 |
A dynamic network model to measure exposure diversification in the Austrian interbank market | We propose a statistical model for weighted temporal networks capable of
measuring the level of heterogeneity in a financial system. Our model focuses
on the level of diversification of financial institutions; that is, whether
they are more inclined to distribute their assets equally among partners, or if
they rather... | 0 | 0 | 0 | 1 | 0 | 1 |
Universal scaling in the Knight shift anomaly of doped periodic Anderson model | We report a Dynamical Cluster Approximation (DCA) investigation of the doped
periodic Anderson model (PAM) to explain the universal scaling in the Knight
shift anomaly predicted by the phenomenological two-fluid model and confirmed
in many heavy-fermion compounds. We calculate the quantitative evolution of the
orbita... | 0 | 1 | 0 | 0 | 0 | 0 |
Reinforcement Learning Algorithm Selection | This paper formalises the problem of online algorithm selection in the
context of Reinforcement Learning. The setup is as follows: given an episodic
task and a finite number of off-policy RL algorithms, a meta-algorithm has to
decide which RL algorithm is in control during the next episode so as to
maximize the expec... | 1 | 0 | 1 | 1 | 0 | 0 |
On periodic solutions of nonlinear wave equations, including Einstein equations with a negative cosmological constant | We construct periodic solutions of nonlinear wave equations using analytic
continuation. The construction applies in particular to Einstein equations,
leading to infinite-dimensional families of time-periodic solutions of the
vacuum, or of the Einstein-Maxwell-dilaton-scalar
fields-Yang-Mills-Higgs-Chern-Simons-$f(R)... | 0 | 0 | 1 | 0 | 0 | 0 |
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories | Attribute-based recognition models, due to their impressive performance and
their ability to generalize well on novel categories, have been widely adopted
for many computer vision applications. However, usually both the attribute
vocabulary and the class-attribute associations have to be provided manually by
domain e... | 1 | 0 | 0 | 0 | 0 | 0 |
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data | In this paper, a scale mixture of Normal distributions model is developed for
classification and clustering of data having outliers and missing values. The
classification method, based on a mixture model, focuses on the introduction of
latent variables that gives us the possibility to handle sensitivity of model
to o... | 0 | 0 | 0 | 1 | 0 | 0 |
Energy stable discretization of Allen-Cahn type problems modeling the motion of phase boundaries | We study the systematic numerical approximation of a class of Allen-Cahn type
problems modeling the motion of phase interfaces. The common feature of these
models is an underlying gradient flow structure which gives rise to a decay of
an associated energy functional along solution trajectories. We first study the
dis... | 0 | 0 | 1 | 0 | 0 | 0 |
Hidden space reconstruction inspires link prediction in complex networks | As a fundamental challenge in vast disciplines, link prediction aims to
identify potential links in a network based on the incomplete observed
information, which has broad applications ranging from uncovering missing
protein-protein interaction to predicting the evolution of networks. One of the
most influential meth... | 1 | 1 | 0 | 0 | 0 | 0 |
Maximum principles for the fractional p-Laplacian and symmetry of solutions | In this paper, we consider nonlinear equations involving the fractional
p-Laplacian $$ (-\lap)_p^s u(x)) \equiv C_{n,s,p} PV \int_{\mathbb{R}^n}
\frac{|u(x)-u(y)|^{p-2}[u(x)-u(y)]}{|x-z|^{n+ps}} dz= f(x,u).$$
We prove a {\em maximum principle for anti-symmetric functions} and obtain
other key ingredients for carrying... | 0 | 0 | 1 | 0 | 0 | 0 |
On slowly rotating axisymmetric solutions of the Einstein-Euler equations | In recent works we have constructed axisymmetric solutions to the
Euler-Poisson equations which give mathematical models of slowly uniformly
rotating gaseous stars. We try to extend this result to the study of solutions
of the Einstein-Euler equations in the framework of the general theory of
relativity. Although man... | 0 | 0 | 1 | 0 | 0 | 0 |
Gapped paramagnetic state in a frustrated spin-$\frac{1}{2}$ Heisenberg antiferromagnet on the cross-striped square lattice | We implement the coupled cluster method to very high orders of approximation
to study the spin-$\frac{1}{2}$ $J_{1}$--$J_{2}$ Heisenberg model on a
cross-striped square lattice. Every nearest-neighbour pair of sites on the
square lattice has an isotropic antiferromagnetic exchange bond of strength
$J_{1}>0$, while th... | 0 | 1 | 0 | 0 | 0 | 0 |
Clouds in the atmospheres of extrasolar planets. V. The impact of CO2 ice clouds on the outer boundary of the habitable zone | Clouds have a strong impact on the climate of planetary atmospheres. The
potential scattering greenhouse effect of CO2 ice clouds in the atmospheres of
terrestrial extrasolar planets is of particular interest because it might
influence the position and thus the extension of the outer boundary of the
classic habitable... | 0 | 1 | 0 | 0 | 0 | 0 |
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks | Magnetic resonance imaging (MRI) has been proposed as a complimentary method
to measure bone quality and assess fracture risk. However, manual segmentation
of MR images of bone is time-consuming, limiting the use of MRI measurements in
the clinical practice. The purpose of this paper is to present an automatic
proxim... | 1 | 0 | 0 | 1 | 0 | 0 |
Identifying On-time Reward Delivery Projects with Estimating Delivery Duration on Kickstarter | In Crowdfunding platforms, people turn their prototype ideas into real
products by raising money from the crowd, or invest in someone else's projects.
In reward-based crowdfunding platforms such as Kickstarter and Indiegogo,
selecting accurate reward delivery duration becomes crucial for creators,
backers, and platfo... | 1 | 0 | 0 | 0 | 0 | 0 |
Bayesian Model-Agnostic Meta-Learning | Learning to infer Bayesian posterior from a few-shot dataset is an important
step towards robust meta-learning due to the model uncertainty inherent in the
problem. In this paper, we propose a novel Bayesian model-agnostic
meta-learning method. The proposed method combines scalable gradient-based
meta-learning with n... | 0 | 0 | 0 | 1 | 0 | 0 |
Distributed matching scheme and a flexible deterministic matching algorithm for arbitrary systems | We discuss the distributed matching scheme in accelerators where control of
transverse beam phase space, oscillation, and transport is accomplished by
flexible distribution of focusing elements beyond dedicated matching sections.
Besides freeing accelerator design from fixed matching sections, such a scheme
has many ... | 0 | 1 | 0 | 0 | 0 | 0 |
Group Metrics for Graph Products of Cyclic Groups | We complement the characterization of the graph products of cyclic groups
$G(\Gamma, \mathfrak{p})$ admitting a Polish group topology of [9] with the
following result. Let $G = G(\Gamma, \mathfrak{p})$, then the following are
equivalent: (i) there is a metric on $\Gamma$ which induces a separable
topology in which $E... | 0 | 0 | 1 | 0 | 0 | 0 |
Robust Online Multi-Task Learning with Correlative and Personalized Structures | Multi-Task Learning (MTL) can enhance a classifier's generalization
performance by learning multiple related tasks simultaneously. Conventional MTL
works under the offline or batch setting, and suffers from expensive training
cost and poor scalability. To address such inefficiency issues, online learning
techniques h... | 1 | 0 | 0 | 1 | 0 | 0 |
Cobordism maps on PFH induced by Lefschetz fibration over higher genus base | In this note, we discuss the cobordism maps on periodic Floer homology(PFH)
induced by Lefschetz fibration. In the first part of the note, we define the
cobordism maps on PFH induced by Lefschetz fibration via Seiberg Witten theory
and the isomorphism between PFH and Seiberg Witten cohomology. The second part
is to d... | 0 | 0 | 1 | 0 | 0 | 0 |
A short note on the order of the Zhang-Liu matrices over arbitrary fields | We give necessary and sufficient conditions for the Zhang-Liu matrices to be
diagonalizable over arbitrary fields and provide the eigen-decomposition when
it is possible. We use this result to calculate the order of these matrices
over any arbitrary field. This generalizes a result of the second author.
| 0 | 0 | 1 | 0 | 0 | 0 |
Proceedings of the 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017) | This is the Proceedings of the 2017 ICML Workshop on Human Interpretability
in Machine Learning (WHI 2017), which was held in Sydney, Australia, August 10,
2017. Invited speakers were Tony Jebara, Pang Wei Koh, and David Sontag.
| 1 | 0 | 0 | 1 | 0 | 0 |
Ferromagnetic transition in a one-dimensional spin-orbit-coupled metal and its mapping to a critical point in smectic liquid crystals | We study the quantum phase transition between a paramagnetic and
ferromagnetic metal in the presence of Rashba spin-orbit coupling in one
dimension. Using bosonization, we analyze the transition by means of
renormalization group, controlled by an $\varepsilon$-expansion around the
upper critical dimension of two. We ... | 0 | 1 | 0 | 0 | 0 | 0 |
Riemannian almost product manifolds generated by a circulant structure | A 4-dimensional Riemannian manifold equipped with a circulant structure,
which is an isometry with respect to the metric and its fourth power is the
identity, is considered. The almost product manifold associated with the
considered manifold is studied. The relation between the covariant derivatives
of the almost pro... | 0 | 0 | 1 | 0 | 0 | 0 |
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis | Modern software systems provide many configuration options which
significantly influence their non-functional properties. To understand and
predict the effect of configuration options, several sampling and learning
strategies have been proposed, albeit often with significant cost to cover the
highly dimensional confi... | 1 | 0 | 0 | 1 | 0 | 0 |
Critique of Barbosa's "P != NP Proof" | We review André Luiz Barbosa's paper "P != NP Proof," in which the classes
P and NP are generalized and claimed to be proven separate. We highlight
inherent ambiguities in Barbosa's definitions, and show that attempts to
resolve this ambiguity lead to flaws in the proof of his main result.
| 1 | 0 | 0 | 0 | 0 | 0 |
Two-Armed Bandit Problem, Data Processing, and Parallel Version of the Mirror Descent Algorithm | We consider the minimax setup for the two-armed bandit problem as applied to
data processing if there are two alternative processing methods available with
different a priori unknown efficiencies. One should determine the most
effective method and provide its predominant application. To this end we use
the mirror des... | 0 | 0 | 1 | 1 | 0 | 0 |
Bearing fault diagnosis under varying working condition based on domain adaptation | Traditional intelligent fault diagnosis of rolling bearings work well only
under a common assumption that the labeled training data (source domain) and
unlabeled testing data (target domain) are drawn from the same distribution.
When the distribution changes, most fault diagnosis models need to be rebuilt
from scratc... | 1 | 0 | 0 | 0 | 0 | 0 |
Dialectical Rough Sets, Parthood and Figures of Opposition-1 | In one perspective, the main theme of this research revolves around the
inverse problem in the context of general rough sets that concerns the
existence of rough basis for given approximations in a context. Granular
operator spaces and variants were recently introduced by the present author as
an optimal framework fo... | 1 | 0 | 1 | 0 | 0 | 0 |
On quasi-hereditary algebras | In this paper we introduce an easily verifiable sufficient condition to
determine whether an algebra is quasi-hereditary. In the case of monomial
algebras, we give conditions that are both necessary and sufficient to show
whether an algebra is quasi-hereditary.
| 0 | 0 | 1 | 0 | 0 | 0 |
Clustering Analysis on Locally Asymptotically Self-similar Processes with Known Number of Clusters | We study the problems of clustering locally asymptotically self-similar
stochastic processes, when the true number of clusters is priorly known. A new
covariance-based dissimilarity measure is introduced, from which the so-called
approximately asymptotically consistent clustering algorithms are obtained. In
a simulat... | 0 | 0 | 0 | 1 | 0 | 0 |
The OSIRIS-REx Visible and InfraRed Spectrometer (OVIRS): Spectral Maps of the Asteroid Bennu | The OSIRIS-REx Visible and Infrared Spectrometer (OVIRS) is a point
spectrometer covering the spectral range of 0.4 to 4.3 microns (25,000-2300
cm-1). Its primary purpose is to map the surface composition of the asteroid
Bennu, the target asteroid of the OSIRIS-REx asteroid sample return mission.
The information it r... | 0 | 1 | 0 | 0 | 0 | 0 |
The effect of the smoothness of fractional type operators over their commutators with Lipschitz symbols on weighted spaces | We prove boundedness results for integral operators of fractional type and
their higher order commutators between weighted spaces, including $L^p$-$L^q$,
$L^p$-$BMO$ and $L^p$-Lipschitz estimates. The kernels of such operators
satisfy certain size condition and a Lipschitz type regularity, and the symbol
of the commu... | 0 | 0 | 1 | 0 | 0 | 0 |
Fast mean-reversion asymptotics for large portfolios of stochastic volatility models | We consider a large portfolio limit where the asset prices evolve according
certain stochastic volatility models with default upon hitting a lower barrier.
When the asset prices and the volatilities are correlated via systemic Brownian
Motions, that limit exist and it is described by a SPDE on the positive
half-space... | 0 | 0 | 0 | 0 | 0 | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.