Search results for " Computer Science"

showing 10 items of 3983 documents

Dirac physical measures for generic diffeomorphisms

2016

We prove that, for a $C^1$ generic diffeomorphism, the only Dirac physical measures with dense statistical basin are those supported on sinks.

Theoretical computer scienceGeneral Mathematics[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS]010102 general mathematicsDirac (software)[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]Generic diffeomorphismsMSC: 37C05 37C20 37D30Dynamical Systems (math.DS)01 natural sciencesComputer Science ApplicationsPhysical measures0103 physical sciencesFOS: Mathematics010307 mathematical physicsDiffeomorphismMathematics - Dynamical Systems0101 mathematicsPhysics::Atmospheric and Oceanic PhysicsMathematicsMathematical physics
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Building Construction Sets by Tiling Grammar Simplification

2016

This paper poses the problem of fabricating physical construction sets from example geometry: A construction set provides a small number of different types of building blocks from which the example model as well as many similar variants can be reassembled. This process is formalized by tiling grammars. Our core contribution is an approach for simplifying tiling grammars such that we obtain physically manufacturable building blocks of controllable granularity while retaining variability, i.e., the ability to construct many different, related shapes. Simplification is performed by sequences of two types of elementary operations: non-local joint edge collapses in the tile graphs reduce the gra…

Theoretical computer scienceGrammarComputer sciencemedia_common.quotation_subject010102 general mathematics020207 software engineering02 engineering and technology01 natural sciencesComputer Graphics and Computer-Aided DesignGraphRule-based machine translation0202 electrical engineering electronic engineering information engineering0101 mathematicsAlgorithmBuilding constructionmedia_commonComputer Graphics Forum
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Approximate Matching over Biological RDF Graphs

2012

In the last few years, the amount of biological interaction data discovered and stored in public databases (e.g., KEGG [2]) considerably increased. To this aim, RDF is a powerful representation for interactions (or pathways), since they can be modeled as directed graphs, often referred to as biological networks, where nodes represent cellular components and the (labeled or unlabeled) edges correspond to interactions among components. Often for a given organism some components are known to be linked by well studied interactions. Such groups of components are called modules and they can be represented by sub-graphs in the corresponding biological network model. At today, one of the most impor…

Theoretical computer scienceGraph databaseComputer scienceSearch engine indexingcomputer.file_formatcomputer.software_genreGraphBioinformatics network analysisApproximate matchingIsomorphismRDFKEGGHeuristicscomputerBiological networkNetwork analysis
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Code Interoperability and Standard Data Formats in Quantum Chemistry and Quantum Dynamics: The Q5/Q5cost Data Model

2014

Code interoperability and the search for domain-specific standard data formats represent critical issues in many areas of computational science. The advent of novel computing infrastructures such as computational grids and clouds make these issues even more urgent. The design and implementation of a common data format for quantum chemistry (QC) and quantum dynamics (QD) computer programs is discussed with reference to the research performed in the course of two Collaboration in Science and Technology Actions. The specific data models adopted, Q5Cost and D5Cost, are shown to work for a number of interoperating codes, regardless of the type and amount of information (small or large datasets) …

Theoretical computer scienceGrid ComputingComputer scienceDistributed computingInteroperability010402 general chemistrycomputer.software_genre01 natural sciencesData typegrid computingData modelingquantum chemistryquantum dynamicQuantum DynamicsCode interoperability0103 physical sciencesprogram interoperabilityCommon Data FormatComputingMilieux_MISCELLANEOUSdata format010304 chemical physicsChemistry (all)General ChemistryQuantum ChemistryGridData Format0104 chemical sciences[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryComputational MathematicsGrid computingData modelProof of conceptcomputerCode interoperability; Quantum Chemistry; Quantum Dynamics; Data Format; Grid ComputingJ. Comput. Chem.
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On the Influence of Technology on Learning Processes

2014

Probabilistic computations and frequency computations were invented for the same purpose, namely, to study possible advantages of technology involving random choices. Recently several authors have discovered close relationships of these generalizations of deterministic computations to computations taking advice. Various forms of computation taking advice were studied by Karp and Lipton [1], Damm and Holzer [2], and Freivalds [3]. In the present paper, we apply the nonconstructive, probabilistic, and frequency methods to an inductive inference paradigm originally due to Gold [4] and investigate their impact on the resulting learning models. Several trade-offs with respect to the resulting l…

Theoretical computer scienceHardware and ArchitectureComputer scienceLearnabilityComputationProbabilistic logicLearning modelsInductive reasoningAdvice (complexity)SoftwareTheoretical Computer ScienceParallel Processing Letters
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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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Kolmogorov superposition theorem for image compression

2012

International audience; The authors present a novel approach for image compression based on an unconventional representation of images. The proposed approach is different from most of the existing techniques in the literature because the compression is not directly performed on the image pixels, but is rather applied to an equivalent monovariate representation of the wavelet-transformed image. More precisely, the authors have considered an adaptation of Kolmogorov superposition theorem proposed by Igelnik and known as the Kolmogorov spline network (KSN), in which the image is approximated by sums and compositions of specific monovariate functions. Using this representation, the authors trad…

Theoretical computer scienceImage compressionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySuperposition theoremE.4. CODING AND INFORMATION THEORY01 natural sciencesWavelet[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringMathematicsPixel010102 general mathematicsWavelet transformcomputer.file_formatSpline (mathematics)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Signal ProcessingJPEG 2000Kolmogorov superposition theorem020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionAlgorithmcomputerSoftwareData compressionImage compression
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Incorporating hypothetical knowledge into the process of inductive synthesis

1996

The problem of inductive inference of functions from hypothetical knowledge is investigated in this paper. This type of inductive inference could be regarded as a generalization of synthesis from examples that can be directed not only by input/output examples but also by knowledge of, e. g., functional description's syntactic structure or assumptions about the process of function evaluation. We show that synthesis of this kind is possible by efficiently enumerating the hypothesis space and illustrate it with several examples.

Theoretical computer scienceInductive biasGeneralizationComputer scienceProcess (engineering)business.industrymedia_common.quotation_subjectSpace (commercial competition)Type (model theory)Inductive reasoningMachine learningcomputer.software_genreFunctional descriptionArtificial intelligenceFunction (engineering)businesscomputermedia_common
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Which new semantic for new shapes?

2006

There are two innovations which have drastically changed the building process: the operational continuity of the design and construction phases, and the software allowing not only the representation but also the autonomous creation of complex shapes never before thought of just because they could not be represented. This last innovation gave rise to a new design paradigm whose tools, according to their supporters, are the most advanced fields of mathematics and information science. Some ways of using these new possibilities gave rise to a radical, problematic, change in the relationship net between the designer’s intentions, the shapes through which they express them (invented or self-gener…

Theoretical computer scienceInterpretation (philosophy)Architecture Structural design Digital architecture ConstructionContext (language use)Communication sourceRepresentation (arts)ArchitectureDigital architectureDesign paradigmObject (philosophy)Epistemology
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