Search results for "NUMBER"

showing 10 items of 3939 documents

Distributed Data Clustering via Opinion Dynamics

2015

We provide a distributed method to partition a large set of data in clusters, characterized by small in-group and large out-group distances. We assume a wireless sensors network in which each sensor is given a large set of data and the objective is to provide a way to group the sensors in homogeneous clusters by information type. In previous literature, the desired number of clusters must be specified a priori by the user. In our approach, the clusters are constrained to have centroids with a distance at least ε between them and the number of desired clusters is not specified. Although traditional algorithms fail to solve the problem with this constraint, it can help obtain a better cluste…

Theoretical computer scienceArticle SubjectComputer Networks and Communicationsbusiness.industryComputer scienceGeneral EngineeringConstrained clusteringPartition (database)lcsh:QA75.5-76.95NETWORKSDetermining the number of clusters in a data setConsensusSettore ING-INF/04 - AutomaticaCONSENSUS PROBLEMSWirelesslcsh:Electronic computers. Computer sciencebusinessCluster analysis
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A model of adaptive decision-making from representation of information environment by quantum fields

2017

We present the mathematical model of decision making (DM) of agents acting in a complex and uncertain environment (combining huge variety of economical, financial, behavioral, and geo-political factors). To describe interaction of agents with it, we apply the formalism of quantum field theory (QTF). Quantum fields are of the purely informational nature. The QFT-model can be treated as a far relative of the expected utility theory, where the role of utility is played by adaptivity to an environment (bath). However, this sort of utility-adaptivity cannot be represented simply as a numerical function. The operator representation in Hilbert space is used and adaptivity is described as in quantu…

Theoretical computer scienceComputer scienceGeneral MathematicsQuantum dynamicsLadderFOS: Physical sciencesGeneral Physics and AstronomyNumber operatorBayesian inference01 natural sciences050105 experimental psychology010305 fluids & plasmasPhysics and Astronomy (all)symbols.namesakeEngineering (all)0103 physical sciencesMathematics (all)0501 psychology and cognitive sciencesQuantum field theoryQuantumMathematical PhysicsGame theoryExpected utility hypothesis05 social sciencesGeneral EngineeringLaw of total probabilityHilbert spaceMathematical Physics (math-ph)ArticlesQuantum BayesianismsymbolsDecision-makingPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Extracting string motif bases for quorum higher than two

2012

Bases of generators of motifs consisting of strings in which some positions can be occupied by a don’t care provide a useful conceptual tool for their description and a way to reduce the time and space involved in the discovery process. In the last few years, a few algorithms have been proposed for the extraction of a basis, building in large part on combinatorial properties of strings and their autocorrelations. Currently, the most efficient techniques for binary alphabets and quorum q = 2 require time quadratic in the length of the host string. The present paper explores properties of motif bases for quorum q ≥ 2, both with binary and general alphabets, by also showing that important resu…

Theoretical computer scienceGeneral Computer ScienceBasis (linear algebra)Computational complexity theorySpacetimeString (computer science)Binary numberTheoretical Computer ScienceBusiness process discoverySet (abstract data type)Quadratic equationpattern discovery string motif basisComputer Science(all)MathematicsTheoretical Computer Science
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The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.

2019

Although the field of learning automata (LA) has made significant progress in the past four decades, the LA-based methods to tackle problems involving environments with a large number of actions is, in reality, relatively unresolved. The extension of the traditional LA to problems within this domain cannot be easily established when the number of actions is very large. This is because the dimensionality of the action probability vector is correspondingly large, and so, most components of the vector will soon have values that are smaller than the machine accuracy permits, implying that they will never be chosen . This paper presents a solution that extends the continuous pursuit paradigm to …

Theoretical computer scienceHierarchical learning automataHierarchy (mathematics)DiscretizationLearning automataComputer Networks and CommunicationsComputer scienceLarge action numbersPursuit learning automata02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Probability vectorLearning automataComputer Science ApplicationsAutomatonOperator (computer programming)Artificial Intelligence0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Estimator-based learning automata020201 artificial intelligence & image processingVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550SoftwareCurse of dimensionalityIEEE transactions on neural networks and learning systems
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The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions

2018

Part 10: Learning - Intelligence; International audience; Although the field of Learning Automata (LA) has made significant progress in the last four decades, the LA-based methods to tackle problems involving environments with a large number of actions are, in reality, relatively unresolved. The extension of the traditional LA (fixed structure, variable structure, discretized, and pursuit) to problems within this domain cannot be easily established when the number of actions is very large. This is because the dimensionality of the action probability vector is correspondingly large, and consequently, most components of the vector will, after a relatively short time, have values that are smal…

Theoretical computer scienceHierarchical learning automataHierarchy (mathematics)Learning automataComputer sciencePursuit learning automataPursuit LALearning Automata02 engineering and technologyEstimator-based LAProbability vectorField (computer science)020202 computer hardware & architectureLA with large number of actionsVariable (computer science)Operator (computer programming)Learning Automata (LA)Action (philosophy)0202 electrical engineering electronic engineering information engineeringEstimator-based learning automata[INFO]Computer Science [cs]020201 artificial intelligence & image processingHierarchical LACurse of dimensionality
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On t-Conorm Based Fuzzy (Pseudo)metrics

2020

We present an alternative approach to the concept of a fuzzy (pseudo)metric using t-conorms instead of t-norms and call them t-conorm based fuzzy (pseudo)metrics or just CB-fuzzy (pseudo)metrics. We develop the basics of the theory of CB-fuzzy (pseudo)metrics and compare them with “classic” fuzzy (pseudo)metrics. A method for construction CB-fuzzy (pseudo)metrics from ordinary metrics is elaborated and topology induced by CB-fuzzy (pseudo)metrics is studied. We establish interrelations between CB-fuzzy metrics and modulars, and in the process of this study, a particular role of Hamacher t-(co)norm in the theory of (CB)-fuzzy metrics is revealed. Finally, an intuitionistic version of a CB-fu…

Theoretical computer scienceLogicComputer scienceMathematics::General MathematicsCB-fuzzy (pseudo)metric02 engineering and technology01 natural sciencesFuzzy logic0202 electrical engineering electronic engineering information engineeringCB-fuzzy (pseudo)metric; archimedian t-(co)norms; hamacher t-(co)norm; modular; modular metric; intuinionistic fuzzy metricsmodular0101 mathematicsMathematical PhysicsAlgebra and Number Theoryintuinionistic fuzzy metricslcsh:Mathematicslcsh:QA1-939010101 applied mathematicsNorm (mathematics)hamacher t-(co)normmodular metric020201 artificial intelligence & image processingGeometry and TopologyComputingMethodologies_GENERALarchimedian t-(co)normsAnalysisAxioms
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Gradation of Fuzzy Preconcept Lattices

2021

Noticing certain limitations of concept lattices in the fuzzy context, especially in view of their practical applications, in this paper, we propose a more general approach based on what we call graded fuzzy preconcept lattices. We believe that this approach is more adequate for dealing with fuzzy information then the one based on fuzzy concept lattices. We consider two possible gradation methods of fuzzy preconcept lattice—an inner one, called D-gradation and an outer one, called M-gradation, study their properties, and illustrate by a series of examples, in particular, of practical nature.

Theoretical computer scienceLogicComputer scienceMathematics::General Mathematicsfuzzy context; fuzzy preconcept; fuzzy preconcept lattice; fuzzy concept; fuzzy concept lattice; graded fuzzy preconcept lattice0206 medical engineeringfuzzy preconceptContext (language use)02 engineering and technologyFuzzy logic0202 electrical engineering electronic engineering information engineeringFuzzy conceptMathematical Physicsfuzzy preconcept latticeAlgebra and Number TheorySeries (mathematics)lcsh:Mathematicsfuzzy contextfuzzy conceptfuzzy concept latticelcsh:QA1-939graded fuzzy preconcept latticeComputer Science::Programming Languages020201 artificial intelligence & image processingGradationGeometry and Topology020602 bioinformaticsAnalysisAxioms; Volume 10; Issue 1; Pages: 41
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Robustness and Randomness

2008

The study of robustness problems for computational geometry algorithms is a topic that has been subject to intensive research efforts from both computer science and mathematics communities. Robustness problems are caused by the lack of precision in computations involving floating-point instead of real numbers. This paper reviews methods dealing with robustness and inaccuracy problems. It discusses approaches based on exact arithmetic, interval arithmetic and probabilistic methods. The paper investigates the possibility to use randomness at certain levels of reasoning to make geometric constructions more robust.

Theoretical computer sciencebusiness.industryComputation020207 software engineering0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesInterval arithmeticProbabilistic method010201 computation theory & mathematicsRobustness (computer science)0202 electrical engineering electronic engineering information engineeringArtificial intelligencebusinesscomputerRandomnessMathematicsReal number
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Reflections on the Nature of the Periodic Table of the Elements: Implications in Chemical Education

2014

The periodic table of the elements (PTE) results essential to understand our nature and place in the whole of beings. The same happens with our food, drugs, materials, etc. A series of questions were asked to introduce PTE and provide answers. The ideas in PTE should be valued by the number of questions that they generate. The PTE was related to electron configurations. The emergence of elements (nucleosynthesis) in physics was explained. The PTE results essential to understand our nature and place in the whole of beings. The same happens with our food, drugs, materials, etc. Schwarz and Rich asked a series of questions (Qs) to introduce PTE and provided answers. The ideas on PTE should be …

Theoretical physicsSeries (mathematics)Chemistry educationPeriod (periodic table)ChemistryGroup NumberElectron configurationChemistry (relationship)Quantum numberValence electronProceedings of The 18th International Electronic Conference on Synthetic Organic Chemistry
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Ultrametric Finite Automata and Turing Machines

2013

We introduce a notion of ultrametric automata and Turing machines using p-adic numbers to describe random branching of the process of computation. These automata have properties similar to the properties of probabilistic automata but complexity of probabilistic automata and complexity of ultrametric automata can differ very much.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceComputer scienceSuper-recursive algorithmProbabilistic Turing machineDescription numberNonlinear Sciences::Cellular Automata and Lattice GasesTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTuring completenesssymbolsQuantum finite automataAutomata theoryTwo-way deterministic finite automatonComputer Science::Formal Languages and Automata TheoryMathematicsofComputing_DISCRETEMATHEMATICS
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