Search results for "recursive"

showing 10 items of 64 documents

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

2014

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert space. For that, we exploit some properties of functional analysis and recursive computation of dot products without the need of preimaging or a training dataset. We illustrate the feasibility of the methodology in the particular case of the $\gamma$ -filter, which is an infinite impulse response filter with controlled stability and memory depth. Different algorithmic formulations emerge from the signal model. Experiments in chaotic and elect…

Mathematical optimizationComputer Networks and Communications02 engineering and technologyautoregressive and moving-averagekernel methodssymbols.namesakeArtificial Intelligence0202 electrical engineering electronic engineering information engineeringKernel adaptive filterInfinite impulse responseMathematicsfilterrecursiveHilbert space020206 networking & telecommunicationsFilter (signal processing)AdaptiveComputer Science ApplicationsAdaptive filterKernel methodKernel (statistics)symbols020201 artificial intelligence & image processingAlgorithmSoftwareReproducing kernel Hilbert spaceIEEE Transactions on Neural Networks and Learning Systems
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Catalan words avoiding pairs of length three patterns

2021

Catalan words are particular growth-restricted words counted by the eponymous integer sequence. In this article we consider Catalan words avoiding a pair of patterns of length 3, pursuing the recent initiating work of the first and last authors and of S. Kirgizov where (among other things) the enumeration of Catalan words avoiding a patterns of length 3 is completed. More precisely, we explore systematically the structural properties of the sets of words under consideration and give enumerating results by means of recursive decomposition, constructive bijections or bivariate generating functions with respect to the length and descent number. Some of the obtained enumerating sequences are kn…

FOS: Computer and information sciencesMathematics::CombinatoricsDiscrete Mathematics (cs.DM)General Computer ScienceInteger sequenceBivariate analysisConstructivelanguage.human_languageTheoretical Computer ScienceCombinatorics[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsEnumerationlanguageDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsCatalanCombinatorics (math.CO)Recursive decompositionBijection injection and surjectionMathematicsDescent (mathematics)Computer Science - Discrete Mathematics
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On the reducibility of function classes

1972

Copy of a paper published 1972 in Russian.

m-reducibilityrecursive functionsreducibilitytabular reducibilityTuring reducibility
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Structured Frequency Algorithms

2015

B.A. Trakhtenbrot proved that in frequency computability (introduced by G. Rose) it is crucially important whether the frequency exceeds \(\frac{1}{2}\). If it does then only recursive sets are frequency-computable. If the frequency does not exceed \(\frac{1}{2}\) then a continuum of sets is frequency-computable. Similar results for finite automata were proved by E.B. Kinber and H. Austinat et al. We generalize the notion of frequency computability demanding a specific structure for the correct answers. We show that if this structure is described in terms of finite projective planes then even a frequency \(O(\frac{\sqrt{n}}{n})\) ensures recursivity of the computable set. We also show that …

CombinatoricsRecursive setComputationComputabilityStructure (category theory)Graph (abstract data type)Continuum (set theory)Rose (topology)Projective planeMathematics
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Explicit recursivity into reproducing kernel Hilbert spaces

2011

This paper presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces (RKHS). Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define model recursivity in the Hilbert space. The method exploits some properties of functional analysis and recursive computation of dot products without the need of pre-imaging. We illustrate the feasibility of the methodology in the particular case of the gamma-filter, an infinite impulse response (IIR) filter with controlled stability and memory depth. Different algorithmic formulations emerge from the signal model. Experiments in chaotic and electroencephalographic time se…

Mathematical optimizationgamma filterHilbert spaceDot productFilter (signal processing)pre-imagefunctional analysissymbols.namesakekernel methodsKernel methodKernel (statistics)symbolsRecursive filterInfinite impulse responseAlgorithmMathematicsReproducing kernel Hilbert spaceRecursive filter
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Probabilistic versus deterministic memory limited learning

1995

Theoretical computer scienceComputer scienceDeterministic memoryTerm memoryProbabilistic logicRecursive functionsShort-term memoryString representation
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Kolmogorov numberings and minimal identification

1995

Identification of programs for computable functions from their graphs by algorithmic devices is a well studied problem in learning theory. Freivalds and Chen consider identification of ‘minimal’ and ‘nearly minimal’ programs for functions from their graphs. To address certain problems in minimal identification for Godel numberings, Freivalds later considered minimal identification in Kolmogorov Numberings. Kolmogorov numberings are in some sense optimal numberings and have some nice properties. We prove certain hierarchy results for minimal identification in every Kolmogorov numbering. In addition we also compare minimal identification in Godel numbering versus minimal identification in Kol…

Discrete mathematicsIdentification (information)Computable functionHierarchy (mathematics)Gödel numberingRecursive functionsInductive reasoningNumberingMathematics
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Derived sets and inductive inference

1994

The paper deals with using topological concepts in studies of the Gold paradigm of inductive inference. They are — accumulation points, derived sets of order α (α — constructive ordinal) and compactness. Identifiability of a class U of total recursive functions with a bound α on the number of mindchanges implies \(U^{(\alpha + 1)} = \not 0\). This allows to construct counter-examples — recursively enumerable classes of functions showing the proper inclusion between identification types: EXα⊂EXα+1.

Discrete mathematicsClass (set theory)Compact spaceRecursively enumerable languageLimit pointOrder (ring theory)IdentifiabilityInductive reasoningConstructiveMathematics
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Fast Estimation of the Median Covariation Matrix with Application to Online Robust Principal Components Analysis

2017

International audience; The geometric median covariation matrix is a robust multivariate indicator of dispersion which can be extended without any difficulty to functional data. We define estimators, based on recursive algorithms, that can be simply updated at each new observation and are able to deal rapidly with large samples of high dimensional data without being obliged to store all the data in memory. Asymptotic convergence properties of the recursive algorithms are studied under weak conditions. The computation of the principal components can also be performed online and this approach can be useful for online outlier detection. A simulation study clearly shows that this robust indicat…

Statistics and ProbabilityComputer scienceMathematics - Statistics TheoryStatistics Theory (math.ST)01 natural sciences010104 statistics & probabilityMatrix (mathematics)Dimension (vector space)Geometric medianStochastic gradientFOS: Mathematics0101 mathematicsL1-median010102 general mathematicsEstimator[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Geometric medianCovariance[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Functional dataMSC: 62G05 62L20Principal component analysisProjection pursuitAnomaly detectionRecursive robust estimationStatistics Probability and UncertaintyAlgorithm
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Quantum Real - Time Turing Machine

2001

The principles of quantum computation differ from the principles of classical computation very much. Quantum analogues to the basic constructions of the classical computation theory, such as Turing machine or finite 1-way and 2-ways automata, do not generalize deterministic ones. Their capabilities are incomparable. The aim of this paper is to introduce a quantum counterpart for real - time Turing machine. The recognition of a special kind of language, that can't be recognized by a deterministic real - time Turing machine, is shown.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceQuantum Turing machineDTIMEComputer scienceProbabilistic Turing machine2-EXPTIMESuper-recursive algorithmComputationDescription numberDSPACElaw.inventionsymbols.namesakeTuring machineTuring completenessNon-deterministic Turing machinelawAlgorithm characterizationsQuantumPSPACEQuantum computerFinite-state machineTuring machine examplesNSPACETheoryofComputation_GENERALAutomatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESTuring reductionTheory of computationsymbolsUniversal Turing machineTime hierarchy theoremAlternating Turing machineComputer Science::Formal Languages and Automata TheoryRegister machine
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