Computer Oriented Learning Processes

Specificaties
Paperback, 601 blz. | Engels
Springer Netherlands | 0e druk, 2011
ISBN13: 9789401015479
Rubricering
Juridisch :
Springer Netherlands 0e druk, 2011 9789401015479
Onderdeel van serie NATO Science Series E:
Verwachte levertijd ongeveer 9 werkdagen

Specificaties

ISBN13:9789401015479
Taal:Engels
Bindwijze:paperback
Aantal pagina's:601
Uitgever:Springer Netherlands
Druk:0

Inhoudsopgave

A Review of Computer Oriented Learning Processes/Une revue des procédures informatiques dites d’apprentissage.- 1. Adaptive Numerical Processes.- Modèles d’apprentissage.- 2. The Stochastic Automata.- Learning with Stochastic Automata and Stochastic Languages.- Learning in Fuzzy Machines.- Learning Decision-making with Fuzzy Automata.- 3. Inference of Formal Grammars.- Some Experiments in Grammatical Inference.- Non-counting Languages and Learning.- Grammatical Inference on Natural Language Samples in the Framework.- Natural Language Acquisition by Robot.- A System Able to Learn a Language as a Model of Intelligence.- 4. Pattern Recognition.- Generation of Recognition Operators by Stochastic and Heuristic Learning.- Entropie quadratique et reconnaissance des formes.- Etude de diverses heuristiques pour des processus d’interrogation.- Feature Selection Using Mutual Information.- Apprentissage et mesures de ressemblances adaptatives.- Learning by Inductive Inference.- 5. Learning to Play a Game.- Learning to Solve Games and Puzzles.- Additive Features in Positional Games.- Realization of a Program Learning to Find Combinations at Chess.- 6. Robotics and Problem Solving.- Procedural Learning in Worlds of Robots.- Automatic Synthesis of SNOBOL Programs.- Design of an Interactive Environment to Study the Behaviour of Several Robots Which Can Learn, Plan Their Actions and Coexist.- A General Approach to Learning in Problem Solving.- Project of a System Learning a Goal Oriented Behaviour.- 7. Interactive Model Formation by Inductive Inference.- Scientific Theory Formation by Computer.- Planning Paradigms: Knowledge for Organizing Models into Programs.- Semantic Memory and Procedural Learning.- Empirical Prediction Algorithms.- List of Participants.

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        Computer Oriented Learning Processes