Search results for "Computable function"

showing 7 items of 7 documents

On the inductive inference of recursive real-valued functions

1999

AbstractWe combine traditional studies of inductive inference and classical continuous mathematics to produce a study of learning real-valued functions. We consider two possible ways to model the learning by example of functions with domain and range the real numbers. The first approach considers functions as represented by computable analytic functions. The second considers arbitrary computable functions of recursive real numbers. In each case we find natural examples of learnable classes of functions and unlearnable classes of functions.

Complex-valued functionGeneral Computer ScienceReal analysisLearning theoryComputable numberInductive inference0102 computer and information sciences02 engineering and technology01 natural sciencesμ-recursive functionComputable analysisTheoretical Computer ScienceAlgebraμ operatorComputable functionReal-valued computationReal-valued function010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmComputer Science(all)MathematicsTheoretical Computer Science
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Kolmogorov numberings and minimal identification

1997

Abstract 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 separation results for minimal identification in every Kolmogorov numbering. In addition we also compare minimal identification in Godel numberings versus minimal identifica…

Discrete mathematicsCombinatoricsIdentification (information)Computable functionGeneral Computer ScienceNumberingComputer Science(all)Theoretical Computer ScienceMathematicsTheoretical Computer Science
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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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Parsimony hierarchies for inductive inference

2004

AbstractFreivalds defined an acceptable programming system independent criterion for learning programs for functions in which the final programs were required to be both correct and “nearly” minimal size. i.e.. within a computable function of being purely minimal size. Kinber showed that this parsimony requirement on final programs limits learning power. However, in scientific inference, parsimony is considered highly desirable. Alim-computable functionis (by definition) one calculable by a total procedure allowed to change its mind finitely many times about its output. Investigated is the possibility of assuaging somewhat the limitation on learning power resulting from requiring parsimonio…

Discrete mathematicsLogic68Q32limiting computable functionComputational learning theoryFunction (mathematics)Inductive reasoningNotationminimal size programConstructivePhilosophyComputable functionComputational learning theoryBounded functionArithmeticOrdinal notationconstructive ordinal notationsMathematics
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A Survey of Continuous-Time Computation Theory

1997

Motivated partly by the resurgence of neural computation research, and partly by advances in device technology, there has been a recent increase of interest in analog, continuous-time computation. However, while special-case algorithms and devices are being developed, relatively little work exists on the general theory of continuous- time models of computation. In this paper, we survey the existing models and results in this area, and point to some of the open research questions. Final Draft peerReviewed

Discrete mathematicsTheoretical computer scienceComputabilityComputationModel of computationneuraalilaskentaTuring machineTuring machinesymbols.namesakeModels of neural computationComputable functionOpen researchTheory of computationsymbolsHopfield networkcellular automatondifferential analyzerMathematics
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Quantum query algorithms for certain functions and general algorithm construction techniques

2007

Quantum algorithms can be analyzed in a query model to compute Boolean functions where input is given in a black box, but the aim is to compute function value for arbitrary input using as few queries as possible. In this paper we concentrate on quantum query algorithm designing tasks. The main aim of research was to find new efficient algorithms and develop general algorithm designing techniques. We present several exact quantum query algorithms for certain problems that are better than classical counterparts. Next we introduce algorithm transformation methods that allow significant enlarging of sets of exactly computable functions. Finally, we propose quantum algorithm designing methods. G…

Quantum sortComputable functionTheoretical computer scienceQuantum phase estimation algorithmAlgorithm designProbabilistic analysis of algorithmsQuantum algorithmQuantum informationAlgorithmQuantum computerMathematicsSPIE Proceedings
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Tractional Motion Machines extend GPAC-generable functions

2012

In late 17th century there appeared the Tractional Motion instruments, mechanical devices which plot the curves solving differential equations by the management of the tangent. In early 20th century Vannevar Bush’s Differential Analyzer got the same aim: in this paper we’ll compare the Differential Analyzer mathematical model (the Shannon’s General Purpose Analog Computer, or GPAC) with the Tractional Motion Machine potentials. Even if we will not arrive in defining the class of the functions generated by Tractional Motion Machines, we’ll see how this class will strictly extend the GPAC-generable functions.

tractional motionlinkagesAnalog computationGPACnonholonomic constraintsAnalog computation; tractional motion; GPAC; computable functions; planar mechanisms; linkages; nonholonomic constraintscomputable functionsplanar mechanismsAnalog computation tractional motion GPAC computable functions planar mechanisms linkages nonholonomic constraints
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