Search results for "Pursuer"

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Organized Learning Models (Pursuer Control Optimisation)

1982

Abstract The concept of Organized Learning is defined, and some random models are presented. For Not Transferable Learning, it is necessary to start from an instantaneous learning; by a discrete way, we must form a stochastic model considering the probability of each path; with a continue aproximation, we can study the evolution of the internal state through to consider the relative and absolute probabilities, by means of differential equations systems. For Transferable Learning, the instantaneous learning give us directly the System evolution. So, the Algoritmes for the different models are compared.

Computer Science::Machine LearningComputational learning theoryWake-sleep algorithmActive learning (machine learning)business.industryComputer scienceCompetitive learningAlgorithmic learning theoryStability (learning theory)Online machine learningPursuerArtificial intelligencebusinessIFAC Proceedings Volumes
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ORGANIZED LEARNING MODELS (PURSUER CONTROL OPTIMISATION)

1983

Abstract The concept of Organized Learning is defined, and some random models are presented. For Not Transferable Learning, it is necessary to start from an instantaneous learning; by a discrete way, we must form a stochastic model considering the probability of each path; with a continue aproximation, we can study the evolution of the internal state through to consider the relative and absolute probabilities, by means of differential equations systems. For Transferable Learning, the instantaneous learning give us directly the System evolution. So, the Algoritmes for the different models are compared.

Computer Science::Machine LearningStochastic modellingActive learning (machine learning)business.industryDifferential equationPath (graph theory)Control (management)Online machine learningPursuerArtificial intelligenceState (computer science)businessMathematics
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