6533b7d8fe1ef96bd126acc8
RESEARCH PRODUCT
Organized Learning Models (Pursuer Control Optimisation)
R. Plasubject
Computer Science::Machine LearningComputational learning theoryWake-sleep algorithmActive learning (machine learning)business.industryComputer scienceCompetitive learningAlgorithmic learning theoryStability (learning theory)Online machine learningPursuerArtificial intelligencebusinessdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1982-01-01 | IFAC Proceedings Volumes |