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33,202 | A role of constraint in self-organization | cs.NE | In this paper we introduce a neural network model of self-organization. This
model uses a variation of Hebb rule for updating its synaptic weights, and
surely converges to the equilibrium status. The key point of the convergence is
the update rule that constrains the total synaptic weight and this seems to
make the mod... | computer science |
33,203 | Generating Segment Durations in a Text-To-Speech System: A Hybrid
Rule-Based/Neural Network Approach | cs.NE | A combination of a neural network with rule firing information from a
rule-based system is used to generate segment durations for a text-to-speech
system. The system shows a slight improvement in performance over a neural
network system without the rule firing information. Synthesized speech using
segment durations was... | computer science |
33,204 | Speech Synthesis with Neural Networks | cs.NE | Text-to-speech conversion has traditionally been performed either by
concatenating short samples of speech or by using rule-based systems to convert
a phonetic representation of speech into an acoustic representation, which is
then converted into speech. This paper describes a system that uses a
time-delay neural netwo... | computer science |
33,205 | Text-To-Speech Conversion with Neural Networks: A Recurrent TDNN
Approach | cs.NE | This paper describes the design of a neural network that performs the
phonetic-to-acoustic mapping in a speech synthesis system. The use of a
time-domain neural network architecture limits discontinuities that occur at
phone boundaries. Recurrent data input also helps smooth the output parameter
tracks. Independent tes... | computer science |
33,206 | A High Quality Text-To-Speech System Composed of Multiple Neural
Networks | cs.NE | While neural networks have been employed to handle several different
text-to-speech tasks, ours is the first system to use neural networks
throughout, for both linguistic and acoustic processing. We divide the
text-to-speech task into three subtasks, a linguistic module mapping from text
to a linguistic representation,... | computer science |
33,207 | The Self-Organizing Symbiotic Agent | cs.NE | In [N. A. Baas, Emergence, Hierarchies, and Hyper-structures, in C.G. Langton
ed., Artificial Life III, Addison Wesley, 1994.] a general framework for the
study of Emergence and hyper-structure was presented. This approach is mostly
concerned with the description of such systems. In this paper we will try to
bring fort... | computer science |
33,208 | A Real-Time Novelty Detector for a Mobile Robot | cs.RO | Recognising new or unusual features of an environment is an ability which is
potentially very useful to a robot. This paper demonstrates an algorithm which
achieves this task by learning an internal representation of `normality' from
sonar scans taken as a robot explores the environment. This model of the
environment i... | computer science |
33,209 | Orthogonal Least Squares Algorithm for the Approximation of a Map and
its Derivatives with a RBF Network | cs.NE | Radial Basis Function Networks (RBFNs) are used primarily to solve
curve-fitting problems and for non-linear system modeling. Several algorithms
are known for the approximation of a non-linear curve from a sparse data set by
means of RBFNs. However, there are no procedures that permit to define
constrains on the deriva... | computer science |
33,210 | Potholes on the Royal Road | cs.NE | It is still unclear how an evolutionary algorithm (EA) searches a fitness
landscape, and on what fitness landscapes a particular EA will do well. The
validity of the building-block hypothesis, a major tenet of traditional genetic
algorithm theory, remains controversial despite its continued use to justify
claims about ... | computer science |
33,211 | Artificial Neurons with Arbitrarily Complex Internal Structures | cs.NE | Artificial neurons with arbitrarily complex internal structure are
introduced. The neurons can be described in terms of a set of internal
variables, a set activation functions which describe the time evolution of
these variables and a set of characteristic functions which control how the
neurons interact with one anoth... | computer science |
33,212 | Neural Net Model for Featured Word Extraction | cs.NE | Search engines perform the task of retrieving information related to the
user-supplied query words. This task has two parts; one is finding "featured
words" which describe an article best and the other is finding a match among
these words to user-defined search terms. There are two main independent
approaches to achiev... | computer science |
33,213 | JohnnyVon: Self-Replicating Automata in Continuous Two-Dimensional Space | cs.NE | JohnnyVon is an implementation of self-replicating automata in continuous
two-dimensional space. Two types of particles drift about in a virtual liquid.
The particles are automata with discrete internal states but continuous
external relationships. Their internal states are governed by finite state
machines but their e... | computer science |
33,214 | Presynaptic modulation as fast synaptic switching: state-dependent
modulation of task performance | cs.NE | Neuromodulatory receptors in presynaptic position have the ability to
suppress synaptic transmission for seconds to minutes when fully engaged. This
effectively alters the synaptic strength of a connection. Much work on
neuromodulation has rested on the assumption that these effects are uniform at
every neuron. However... | computer science |
33,215 | An approach to membrane computing under inexactitude | cs.OH | In this paper we introduce a fuzzy version of symport/antiport membrane
systems. Our fuzzy membrane systems handle possibly inexact copies of reactives
and their rules are endowed with threshold functions that determine whether a
rule can be applied or not to a given set of objects, depending of the degree
of accuracy ... | computer science |
33,217 | Exploring tradeoffs in pleiotropy and redundancy using evolutionary
computing | cs.NE | Evolutionary computation algorithms are increasingly being used to solve
optimization problems as they have many advantages over traditional
optimization algorithms. In this paper we use evolutionary computation to study
the trade-off between pleiotropy and redundancy in a client-server based
network. Pleiotropy is a t... | computer science |
33,218 | Optimizing genetic algorithm strategies for evolving networks | cs.NE | This paper explores the use of genetic algorithms for the design of networks,
where the demands on the network fluctuate in time. For varying network
constraints, we find the best network using the standard genetic algorithm
operators such as inversion, mutation and crossover. We also examine how the
choice of genetic ... | computer science |
33,219 | Parallel Mixed Bayesian Optimization Algorithm: A Scaleup Analysis | cs.NE | Estimation of Distribution Algorithms have been proposed as a new paradigm
for evolutionary optimization. This paper focuses on the parallelization of
Estimation of Distribution Algorithms. More specifically, the paper discusses
how to predict performance of parallel Mixed Bayesian Optimization Algorithm
(MBOA) that is... | computer science |
33,220 | Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural
Networks | cs.NE | We study in this paper the effect of an unique initial stimulation on random
recurrent networks of leaky integrate and fire neurons. Indeed given a
stochastic connectivity this so-called spontaneous mode exhibits various non
trivial dynamics. This study brings forward a mathematical formalism that
allows us to examine ... | computer science |
33,221 | Global minimization of a quadratic functional: neural network approach | cs.NE | The problem of finding out the global minimum of a multiextremal functional
is discussed. One frequently faces with such a functional in various
applications. We propose a procedure, which depends on the dimensionality of
the problem polynomially. In our approach we use the eigenvalues and
eigenvectors of the connectio... | computer science |
33,222 | Identification of complex systems in the basis of wavelets | cs.CE | In this paper is proposed the method of the identification of complex dynamic
systems. Method can be used for the identification of linear and nonlinear
complex dynamic systems for the determined or stochastic signals at the inputs
and the outputs. It is proposed to use a basis of wavelets for obtaining the
impulse tra... | computer science |
33,223 | Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector
Machines | cs.IR | The problem of known signal detection in Additive White Gaussian Noise is
considered. In previous work, a new detection scheme was introduced by the
authors, and it was demonstrated that optimum performance cannot be reached in
a real implementation. In this paper we analyse Support Vector Machines (SVM)
as an alternat... | computer science |
33,224 | Upgrading Pulse Detection with Time Shift Properties Using Wavelets and
Support Vector Machines | cs.IR | Current approaches in pulse detection use domain transformations so as to
concentrate frequency related information that can be distinguishable from
noise. In real cases we do not know when the pulse will begin, so we need a
time search process in which time windows are scheduled and analysed. Each
window can contain t... | computer science |
33,225 | Wavelet Time Shift Properties Integration with Support Vector Machines | cs.IR | This paper presents a short evaluation about the integration of information
derived from wavelet non-linear-time-invariant (non-LTI) projection properties
using Support Vector Machines (SVM). These properties may give additional
information for a classifier trying to detect known patterns hidden by noise.
In the experi... | computer science |
33,226 | Dynamical Neural Network: Information and Topology | cs.IR | A neural network works as an associative memory device if it has large
storage capacity and the quality of the retrieval is good enough. The learning
and attractor abilities of the network both can be measured by the mutual
information (MI), between patterns and retrieval states. This paper deals with
a search for an o... | computer science |
33,227 | Long-term neuronal behavior caused by two synaptic modification
mechanisms | cs.NE | We report the first results of simulating the coupling of neuronal,
astrocyte, and cerebrovascular activity. It is suggested that the dynamics of
the system is different from systems that only include neurons. In the
neuron-vascular coupling, distribution of synapse strengths affects neuronal
behavior and thus balance ... | computer science |
33,228 | Automatic Detection of Trends in Dynamical Text: An Evolutionary
Approach | cs.IR | This paper presents an evolutionary algorithm for modeling the arrival dates
of document streams, which is any time-stamped collection of documents, such as
newscasts, e-mails, IRC conversations, scientific journals archives and weblog
postings. This algorithm assigns frequencies (number of document arrivals per
time u... | computer science |
33,229 | Theory of sexes by Geodakian as it is advanced by Iskrin | cs.NE | In 1960s V.Geodakian proposed a theory that explains sexes as a mechanism for
evolutionary adaptation of the species to changing environmental conditions. In
2001 V.Iskrin refined and augmented the concepts of Geodakian and gave a new
and interesting explanation to several phenomena which involve sex, and sex
ratio, in... | computer science |
33,230 | Managing network congestion with a Kohonen-based RED queue | cs.NI | The behaviour of the TCP AIMD algorithm is known to cause queue length
oscillations when congestion occurs at a router output link. Indeed, due to
these queueing variations, end-to-end applications experience large delay
jitter. Many studies have proposed efficient Active Queue Management (AQM)
mechanisms in order to r... | computer science |
33,231 | Browser-based distributed evolutionary computation: performance and
scaling behavior | cs.DC | The challenge of ad-hoc computing is to find the way of taking advantage of
spare cycles in an efficient way that takes into account all capabilities of
the devices and interconnections available to them. In this paper we explore
distributed evolutionary computation based on the Ruby on Rails framework,
which overlays ... | computer science |
33,232 | Genetic Representations for Evolutionary Minimization of Network Coding
Resources | cs.NE | We demonstrate how a genetic algorithm solves the problem of minimizing the
resources used for network coding, subject to a throughput constraint, in a
multicast scenario. A genetic algorithm avoids the computational complexity
that makes the problem NP-hard and, for our experiments, greatly improves on
sub-optimal sol... | computer science |
33,233 | Integral Biomathics: A Post-Newtonian View into the Logos of Bios (On
the New Meaning, Relations and Principles of Life in Science) | cs.NE | This work is an attempt for a state-of-the-art survey of natural and life
sciences with the goal to define the scope and address the central questions of
an original research program. It is focused on the phenomena of emergence,
adaptive dynamics and evolution of self-assembling, self-organizing,
self-maintaining and s... | computer science |
33,234 | Exploring Logic Artificial Chemistries: An Illogical Attempt? | cs.NE | Robustness to a wide variety of negative factors and the ability to
self-repair is an inherent and natural characteristic of all life forms on
earth. As opposed to nature, man-made systems are in most cases not inherently
robust and a significant effort has to be made in order to make them resistant
against failures. T... | computer science |
33,235 | Genetic Algorithm for SU(N) gauge theory on a lattice | cs.NE | An Algorithm is proposed for the simulation of pure SU(N) lattice gauge
theories based on Genetic Algorithms(GAs). Main difference between GAs and
Metropolis methods(MPs) is that GAs treat a population of points at once, while
MPs treat only one point in the searching space. This provides GAs with
information about the... | computer science |
33,236 | Genetic Algorithm for SU(2) Gauge Theory on a 2-dimensional Lattice | cs.NE | An algorithm is proposed for the simulation of pure SU(N) lattice gauge
theories based on Genetic Algorithms(GAs). We apply GAs to SU(2) pure gauge
theory on a 2 dimensional lattice and show the results, the action per
plaquette and Wilson loops, are consistent with those by Metropolis method(MP)s
and Heatbath method(H... | computer science |
33,237 | On the classifiability of cellular automata | math.LO | Based on computer simulations Wolfram presented in several papers conjectured
classifications of cellular automata into 4 types. He distinguishes the 4
classes of cellular automata by the evolution of the pattern generated by
applying a cellular automaton to a finite input. Wolfram's qualitative
classification is based... | computer science |
33,238 | Numerical Replication of Computer Simulations: Some Pitfalls and How To
Avoid Them | nlin.AO | A computer simulation, such as a genetic algorithm, that uses IEEE standard
floating-point arithmetic may not produce exactly the same results in two
different runs, even if it is rerun on the same computer with the same input
and random number seeds. Researchers should not simply assume that the results
from one run r... | computer science |
33,239 | Notes on information geometry and evolutionary processes | nlin.AO | In order to analyze and extract different structural properties of
distributions, one can introduce different coordinate systems over the manifold
of distributions. In Evolutionary Computation, the Walsh bases and the Building
Block Bases are often used to describe populations, which simplifies the
analysis of evolutio... | computer science |
33,240 | Bistability: a common feature in some "aggregates" of logistic maps | nlin.AO | As it was argued by Anderson [Science 177, 393 (1972)], the "reductionist"
hypothesis does not by any means imply a "constructionist" one. Hence, in
general, the behavior of large and complex aggregates of elementary components
can not be understood nor extrapolated from the properties of a few components.
Following th... | computer science |
33,241 | Optimal estimation for Large-Eddy Simulation of turbulence and
application to the analysis of subgrid models | cs.NE | The tools of optimal estimation are applied to the study of subgrid models
for Large-Eddy Simulation of turbulence. The concept of optimal estimator is
introduced and its properties are analyzed in the context of applications to a
priori tests of subgrid models. Attention is focused on the Cook and Riley
model in the c... | computer science |
33,242 | Memorization in a neural network with adjustable transfer function and
conditional gating | cs.NE | The main problem about replacing LTP as a memory mechanism has been to find
other highly abstract, easily understandable principles for induced plasticity.
In this paper we attempt to lay out such a basic mechanism, namely intrinsic
plasticity. Important empirical observations with theoretical significance are
time-lay... | computer science |
33,243 | Learning intrinsic excitability in medium spiny neurons | cs.NE | We present an unsupervised, local activation-dependent learning rule for
intrinsic plasticity (IP) which affects the composition of ion channel
conductances for single neurons in a use-dependent way. We use a
single-compartment conductance-based model for medium spiny striatal neurons in
order to show the effects of pa... | computer science |
33,244 | Control of Complex Systems Using Bayesian Networks and Genetic Algorithm | cs.CE | A method based on Bayesian neural networks and genetic algorithm is proposed
to control the fermentation process. The relationship between input and output
variables is modelled using Bayesian neural network that is trained using
hybrid Monte Carlo method. A feedback loop based on genetic algorithm is used
to change in... | computer science |
33,245 | Option Pricing Using Bayesian Neural Networks | cs.CE | Options have provided a field of much study because of the complexity
involved in pricing them. The Black-Scholes equations were developed to price
options but they are only valid for European styled options. There is added
complexity when trying to price American styled options and this is why the use
of neural networ... | computer science |
33,246 | Dynamic Model Updating Using Particle Swarm Optimization Method | cs.CE | This paper proposes the use of particle swarm optimization method (PSO) for
finite element (FE) model updating. The PSO method is compared to the existing
methods that use simulated annealing (SA) or genetic algorithms (GA) for FE
model for model updating. The proposed method is tested on an unsymmetrical
H-shaped stru... | computer science |
33,247 | Challenges and Opportunities of Evolutionary Robotics | cs.NE | Robotic hardware designs are becoming more complex as the variety and number
of on-board sensors increase and as greater computational power is provided in
ever-smaller packages on-board robots. These advances in hardware, however, do
not automatically translate into better software for controlling complex
robots. Evol... | computer science |
33,248 | Design, Implementation, and Cooperative Coevolution of an Autonomous/
Teleoperated Control System for a Serpentine Robotic Manipulator | cs.NE | Design, implementation, and machine learning issues associated with
developing a control system for a serpentine robotic manipulator are explored.
The controller developed provides autonomous control of the serpentine robotic
manipulatorduring operation of the manipulator within an enclosed environment
such as an under... | computer science |
33,249 | Clifford Algebra of the Vector Space of Conics for decision boundary
Hyperplanes in m-Euclidean Space | cs.NE | In this paper we embed $m$-dimensional Euclidean space in the geometric
algebra $Cl_m $ to extend the operators of incidence in ${R^m}$ to operators of
incidence in the geometric algebra to generalize the notion of separator to a
decision boundary hyperconic in the Clifford algebra of hyperconic sections
denoted as ${C... | computer science |
33,250 | One-way Hash Function Based on Neural Network | cs.CR | A hash function is constructed based on a three-layer neural network. The
three neuron-layers are used to realize data confusion, diffusion and
compression respectively, and the multi-block hash mode is presented to support
the plaintext with variable length. Theoretical analysis and experimental
results show that this... | computer science |
33,251 | Image Authentication Based on Neural Networks | cs.MM | Neural network has been attracting more and more researchers since the past
decades. The properties, such as parameter sensitivity, random similarity,
learning ability, etc., make it suitable for information protection, such as
data encryption, data authentication, intrusion detection, etc. In this paper,
by investigat... | computer science |
33,252 | Who is the best connected EC researcher? Centrality analysis of the
complex network of authors in evolutionary computation | cs.CY | Co-authorship graphs (that is, the graph of authors linked by co-authorship
of papers) are complex networks, which expresses the dynamics of a complex
system. Only recently its study has started to draw interest from the EC
community, the first paper dealing with it having been published two years ago.
In this paper we... | computer science |
33,253 | A Neural Networks Model of the Venezuelan Economy | cs.CE | Besides an indicator of the GDP, the Central Bank of Venezuela generates the
so called Monthly Economic Activity General Indicator. The a priori knowledge
of this indicator, which represents and sometimes even anticipates the
economy's fluctuations, could be helpful in developing public policies and in
investment decis... | computer science |
33,254 | A Non Parametric Study of the Volatility of the Economy as a Country
Risk Predictor | cs.CE | This paper intends to explain Venezuela's country spread behavior through the
Neural Networks analysis of a monthly economic activity general index of
economic indicators constructed by the Central Bank of Venezuela, a measure of
the shocks affecting country risk of emerging markets and the U.S. short term
interest rat... | computer science |
33,255 | A Non Parametric Model for the Forecasting of the Venezuelan Oil Prices | cs.CE | A neural net model for forecasting the prices of Venezuelan crude oil is
proposed. The inputs of the neural net are selected by reference to a dynamic
system model of oil prices by Mashayekhi (1995, 2001) and its performance is
evaluated using two criteria: the Excess Profitability test by Anatoliev and
Gerko (2005) an... | computer science |
33,256 | Liquid State Machines in Adbiatic Quantum Computers for General
Computation | cs.CC | Major mistakes do not read | computer science |
33,257 | Adaptive Investment Strategies For Periodic Environments | cs.CE | In this paper, we present an adaptive investment strategy for environments
with periodic returns on investment. In our approach, we consider an investment
model where the agent decides at every time step the proportion of wealth to
invest in a risky asset, keeping the rest of the budget in a risk-free asset.
Every inve... | computer science |
33,258 | Evolving XSLT stylesheets | cs.NE | This paper introduces a procedure based on genetic programming to evolve XSLT
programs (usually called stylesheets or logicsheets). XSLT is a general
purpose, document-oriented functional language, generally used to transform XML
documents (or, in general, solve any problem that can be coded as an XML
document). The pr... | computer science |
33,259 | Biology of Applied Digital Ecosystems | cs.NE | A primary motivation for our research in Digital Ecosystems is the desire to
exploit the self-organising properties of biological ecosystems. Ecosystems are
thought to be robust, scalable architectures that can automatically solve
complex, dynamic problems. However, the biological processes that contribute to
these pro... | computer science |
33,260 | Evolution of central pattern generators for the control of a five-link
bipedal walking mechanism | cs.NE | Central pattern generators (CPGs), with a basis is neurophysiological
studies, are a type of neural network for the generation of rhythmic motion.
While CPGs are being increasingly used in robot control, most applications are
hand-tuned for a specific task and it is acknowledged in the field that generic
methods and de... | computer science |
33,261 | A Pyramidal Evolutionary Algorithm with Different Inter-Agent Partnering
Strategies for Scheduling Problems | cs.NE | This paper combines the idea of a hierarchical distributed genetic algorithm
with different inter-agent partnering strategies. Cascading clusters of
sub-populations are built from bottom up, with higher-level sub-populations
optimising larger parts of the problem. Hence higher-level sub-populations
search a larger sear... | computer science |
33,262 | A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem | cs.NE | A Bayesian optimization algorithm for the nurse scheduling problem is
presented, which involves choosing a suitable scheduling rule from a set for
each nurses assignment. Unlike our previous work that used Gas to implement
implicit learning, the learning in the proposed algorithm is explicit, ie.
Eventually, we will be... | computer science |
33,263 | Strategic Alert Throttling for Intrusion Detection Systems | cs.NE | Network intrusion detection systems are themselves becoming targets of
attackers. Alert flood attacks may be used to conceal malicious activity by
hiding it among a deluge of false alerts sent by the attacker. Although these
types of attacks are very hard to stop completely, our aim is to present
techniques that improv... | computer science |
33,264 | Investigating Artificial Immune Systems For Job Shop Rescheduling In
Changing Environments | cs.NE | Artificial immune system can be used to generate schedules in changing
environments and it has been proven to be more robust than schedules developed
using a genetic algorithm. Good schedules can be produced especially when the
number of the antigens is increased. However, an increase in the range of the
antigens had s... | computer science |
33,265 | Exploiting problem structure in a genetic algorithm approach to a nurse
rostering problem | cs.NE | There is considerable interest in the use of genetic algorithms to solve
problems arising in the areas of scheduling and timetabling. However, the
classical genetic algorithm paradigm is not well equipped to handle the
conflict between objectives and constraints that typically occurs in such
problems. In order to overc... | computer science |
33,266 | Neural Networks and Database Systems | cs.DB | Object-oriented database systems proved very valuable at handling and
administrating complex objects. In the following guidelines for embedding
neural networks into such systems are presented. It is our goal to treat
networks as normal data in the database system. From the logical point of view,
a neural network is a c... | computer science |
33,267 | Sensing Danger: Innate Immunology for Intrusion Detection | cs.NE | The immune system provides an ideal metaphor for anomaly detection in general
and computer security in particular. Based on this idea, artificial immune
systems have been used for a number of years for intrusion detection,
unfortunately so far with little success. However, these previous systems were
largely based on i... | computer science |
33,268 | Bayesian Optimisation Algorithm for Nurse Scheduling | cs.NE | Our research has shown that schedules can be built mimicking a human
scheduler by using a set of rules that involve domain knowledge. This chapter
presents a Bayesian Optimization Algorithm (BOA) for the nurse scheduling
problem that chooses such suitable scheduling rules from a set for each nurses
assignment. Based on... | computer science |
33,269 | Immune System Approaches to Intrusion Detection - A Review | cs.NE | The use of artificial immune systems in intrusion detection is an appealing
concept for two reasons. Firstly, the human immune system provides the human
body with a high level of protection from invading pathogens, in a robust,
self-organised and distributed manner. Secondly, current techniques used in
computer securit... | computer science |
33,270 | Data Reduction in Intrusion Alert Correlation | cs.CR | Network intrusion detection sensors are usually built around low level models
of network traffic. This means that their output is of a similarly low level
and as a consequence, is difficult to analyze. Intrusion alert correlation is
the task of automating some of this analysis by grouping related alerts
together. Attac... | computer science |
33,271 | Logic Mining Using Neural Networks | cs.LO | Knowledge could be gained from experts, specialists in the area of interest,
or it can be gained by induction from sets of data. Automatic induction of
knowledge from data sets, usually stored in large databases, is called data
mining. Data mining methods are important in the management of complex systems.
There are ma... | computer science |
33,272 | Logic Learning in Hopfield Networks | cs.LO | Synaptic weights for neurons in logic programming can be calculated either by
using Hebbian learning or by Wan Abdullah's method. In other words, Hebbian
learning for governing events corresponding to some respective program clauses
is equivalent with learning using Wan Abdullah's method for the same respective
program... | computer science |
33,273 | Explaining the Logical Nature of Electrical Solitons in Neural Circuits | cs.NE | Neurons are modeled electrically based on ferroelectric membranes thin enough
to permit charge transfer, conjectured to be the tunneling result of thermally
energetic ions and random electrons. These membranes can be triggered to
produce electrical solitons, the main signals for brain associative memory and
logical pro... | computer science |
33,274 | Flatness of the Energy Landscape for Horn Clauses | cs.NE | The Little-Hopfield neural network programmed with Horn clauses is studied.
We argue that the energy landscape of the system, corresponding to the
inconsistency function for logical interpretations of the sets of Horn clauses,
has minimal ruggedness. This is supported by computer simulations. | computer science |
33,275 | Clustering of scientific citations in Wikipedia | cs.DL | The instances of templates in Wikipedia form an interesting data set of
structured information. Here I focus on the cite journal template that is
primarily used for citation to articles in scientific journals. These citations
can be extracted and analyzed: Non-negative matrix factorization is performed
on a (article x ... | computer science |
33,276 | A Simple Dynamic Mind-map Framework To Discover Associative
Relationships in Transactional Data Streams | cs.NE | In this paper, we informally introduce dynamic mind-maps that represent a new
approach on the basis of a dynamic construction of connectionist structures
during the processing of a data stream. This allows the representation and
processing of recursively defined structures and avoids the problem of a more
traditional, ... | computer science |
33,277 | Grammatical Evolution with Restarts for Fast Fractal Generation | cs.NE | In a previous work, the authors proposed a Grammatical Evolution algorithm to
automatically generate Lindenmayer Systems which represent fractal curves with
a pre-determined fractal dimension. This paper gives strong statistical
evidence that the probability distributions of the execution time of that
algorithm exhibit... | computer science |
33,278 | MultiKulti Algorithm: Migrating the Most Different Genotypes in an
Island Model | cs.NE | Migration policies in distributed evolutionary algorithms has not been an
active research area until recently. However, in the same way as operators have
an impact on performance, the choice of migrants is due to have an impact too.
In this paper we propose a new policy (named multikulti) for choosing the
individuals t... | computer science |
33,279 | Round Trip Time Prediction Using the Symbolic Function Network Approach | cs.NE | In this paper, we develop a novel approach to model the Internet round trip
time using a recently proposed symbolic type neural network model called
symbolic function network. The developed predictor is shown to have good
generalization performance and simple representation compared to the multilayer
perceptron based p... | computer science |
33,280 | A First-Order Non-Homogeneous Markov Model for the Response of Spiking
Neurons Stimulated by Small Phase-Continuous Signals | cs.NE | We present a first-order non-homogeneous Markov model for the
interspike-interval density of a continuously stimulated spiking neuron. The
model allows the conditional interspike-interval density and the stationary
interspike-interval density to be expressed as products of two separate
functions, one of which describes... | computer science |
33,281 | Approximating the volume of unions and intersections of high-dimensional
geometric objects | cs.CG | We consider the computation of the volume of the union of high-dimensional
geometric objects. While showing that this problem is #P-hard already for very
simple bodies (i.e., axis-parallel boxes), we give a fast FPRAS for all objects
where one can: (1) test whether a given point lies inside the object, (2)
sample a poi... | computer science |
33,282 | State dependent computation using coupled recurrent networks | cs.NE | Although conditional branching between possible behavioural states is a
hallmark of intelligent behavior, very little is known about the neuronal
mechanisms that support this processing. In a step toward solving this problem
we demonstrate by theoretical analysis and simulation how networks of richly
inter-connected ne... | computer science |
33,283 | Towards a Framework for Observing Artificial Evolutionary Systems | cs.NE | Establishing the emergence of evolutionary behavior as a defining
characteristic of 'life' is a major step in the Artificial life (ALife)
studies. We present here an abstract formal framework for this aim based upon
the notion of high-level observations made on the ALife model at hand during
its simulations. An observa... | computer science |
33,284 | Optimal design and optimal control of structures undergoing finite
rotations and elastic deformations | cs.NE | In this work we deal with the optimal design and optimal control of
structures undergoing large rotations. In other words, we show how to find the
corresponding initial configuration and the corresponding set of multiple load
parameters in order to recover a desired deformed configuration or some
desirable features of ... | computer science |
33,285 | Fast solving of Weighted Pairing Least-Squares systems | cs.MS | This paper presents a generalization of the "weighted least-squares" (WLS),
named "weighted pairing least-squares" (WPLS), which uses a rectangular weight
matrix and is suitable for data alignment problems. Two fast solving methods,
suitable for solving full rank systems as well as rank deficient systems, are
studied. ... | computer science |
33,286 | Novel anisotropic continuum-discrete damage model capable of
representing localized failure of massive structures. Part II: identification
from tests under heterogeneous stress field | cs.NE | In Part I of this paper we have presented a simple model capable of
describing the localized failure of a massive structure. In this part, we
discuss the identification of the model parameters from two kinds of
experiments: a uniaxial tensile test and a three-point bending test. The former
is used only for illustration... | computer science |
33,287 | Self-Assembly as Graph Grammar as Distributed System | cs.DC | In 2004, Klavins et al. introduced the use of graph grammars to describe --
and to program -- systems of self-assembly. It turns out that these graph
grammars are a "dual notion" of a graph rewriting characterization of
distributed systems that was proposed by Degano and Montanari over twenty years
ago. By applying tec... | computer science |
33,288 | Distributed Agreement in Tile Self-Assembly | cs.DC | Laboratory investigations have shown that a formal theory of fault-tolerance
will be essential to harness nanoscale self-assembly as a medium of
computation. Several researchers have voiced an intuition that self-assembly
phenomena are related to the field of distributed computing. This paper
formalizes some of that in... | computer science |
33,289 | Memory Retrieved from Single Neurons | cs.NE | The paper examines the problem of accessing a vector memory from a single
neuron in a Hebbian neural network. It begins with the review of the author's
earlier method, which is different from the Hopfield model in that it recruits
neighboring neurons by spreading activity, making it possible for single or
group of neur... | computer science |
33,290 | On the Expressiveness of Line Drawings | cs.OH | Can expressiveness of a drawing be traced with a computer? In this study a
neural network (perceptron) and a support vector machine are used to classify
line drawings. To do this the line drawings are attributed values according to
a kinematic model and a diffusion model for the lines they consist of. The
values for bo... | computer science |
33,291 | Deterministic Autopoietic Automata | cs.NE | This paper studies two issues related to the paper on Computing by
Self-reproduction: Autopoietic Automata by Jiri Wiedermann. It is shown that
all results presented there extend to deterministic computations. In
particular, nondeterminism is not needed for a lineage to generate all
autopoietic automata. | computer science |
33,292 | Evolutionary estimation of a Coupled Markov Chain credit risk model | cs.NE | There exists a range of different models for estimating and simulating credit
risk transitions to optimally manage credit risk portfolios and products. In
this chapter we present a Coupled Markov Chain approach to model rating
transitions and thereby default probabilities of companies. As the likelihood
of the model tu... | computer science |
33,293 | Short Term Load Forecasting Using Multi Parameter Regression | cs.NE | Short Term Load forecasting in this paper uses input data dependent on
parameters such as load for current hour and previous two hours, temperature
for current hour and previous two hours, wind for current hour and previous two
hours, cloud for current hour and previous two hours. Forecasting will be of
load demand for... | computer science |
33,294 | Detection of Denial of Service Attacks against Domain Name System Using
Neural Networks | cs.CR | In this paper we introduce an intrusion detection system for Denial of
Service (DoS) attacks against Domain Name System (DNS). Our system architecture
consists of two most important parts: a statistical preprocessor and a neural
network classifier. The preprocessor extracts required statistical features in
a shorttime ... | computer science |
33,295 | Neural daylight control system | cs.NE | The paper describes the design, the implementation of a neural controller
used in an automatic daylight control system. The automatic lighting control
system (ALCS) attempt to maintain constant the illuminance at the desired level
on working plane even if the daylight contribution is variable. Therefore, the
daylight w... | computer science |
33,296 | A Comparison between Memetic algorithm and Genetic algorithm for the
cryptanalysis of Simplified Data Encryption Standard algorithm | cs.CR | Genetic algorithms are a population-based Meta heuristics. They have been
successfully applied to many optimization problems. However, premature
convergence is an inherent characteristic of such classical genetic algorithms
that makes them incapable of searching numerous solutions of the problem
domain. A memetic algor... | computer science |
33,297 | Group Leaders Optimization Algorithm | cs.NE | We present a new global optimization algorithm in which the influence of the
leaders in social groups is used as an inspiration for the evolutionary
technique which is designed into a group architecture. To demonstrate the
efficiency of the method, a standard suite of single and multidimensional
optimization functions ... | computer science |
33,298 | XOR at a Single Vertex -- Artificial Dendrites | cs.NE | New to neuroscience with implications for AI, the exclusive OR, or any other
Boolean 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 coat... | computer science |
33,299 | Reduction of behavior of additive cellular automata on groups | nlin.CG | A class of additive cellular automata (ACA) on a finite group is defined by
an index-group $\m g$ and a finite field $\m F_p$ for a prime modulus $p$
\cite{Bul_arch_1}. This paper deals mainly with ACA on infinite commutative
groups and direct products of them with some non commutative $p$-groups. It
appears that for a... | computer science |
33,300 | On Application of the Local Search and the Genetic Algorithms Techniques
to Some Combinatorial Optimization Problems | cs.NE | In this paper the approach to solving several combinatorial optimization
problems using the local search and the genetic algorithm techniques is
proposed. Initially this approach was developed in purpose to overcome some
difficulties inhibiting the application of above mentioned techniques to the
problems of the Questi... | computer science |
33,301 | Critical control of a genetic algorithm | cs.NE | Based on speculations coming from statistical mechanics and the conjectured
existence of critical states, I propose a simple heuristic in order to control
the mutation probability and the population size of a genetic algorithm. | computer science |
33,302 | Local Minima of a Quadratic Binary Functional with Quasi-Hebbian
Connection Matrix | cs.NE | The local minima of a quadratic functional depending on binary variables are
discussed. An arbitrary connection matrix can be presented in the form of
quasi-Hebbian expansion where each pattern is supplied with its own individual
weight. For such matrices statistical physics methods allow one to derive an
equation desc... | computer science |
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