Computational Learning Theory and Natural Learning Systems: Constraints and Prospects - Couverture souple

9780262581264: Computational Learning Theory and Natural Learning Systems: Constraints and Prospects

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ISBN 10 : 0262581264 ISBN 13 : 9780262581264

Editeur : MIT Press, 1994

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� propos des auteurs

George A. Drastal is Senior Research Scientist at Siemens Corporate Research.

Stephen Jos� Hanson is Professor of Psychology (Newark Campus) and Member of the Cognitive Science Center (New Brunswick Campus) at Rutgers University.

Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.

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�diteur: MIT Press
Date d'�dition: 1994
Langue: anglais
ISBN 10: 0262581264
ISBN 13: 9780262581264
Reliure: Broch�
Nombre de pages: 577
�diteur: Drastal George, Hanson Stephen Jos�, Rivest Ronald L.
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects.

Drastal, George A. (Editor)

Edit� par Bradford Books, 1994

ISBN 10 : 0262581264 ISBN 13 : 9780262581264

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Etat : as new. Cambridge, MA: The MIT Press, 1994. Paperback. 500 pp.- These original contributions converge on an exciting and fruitful intersection of three historically distinct areas of learning research: computational learning theory, neural networks, and symbolic machine learning. Bridging theory and practice, computer science and psychology, they consider general issues in learning systems that could provide constraints for theory and at the same time interpret theoretical results in the context of experiments with actual learning systems. In all, nineteen chapters address questions such as, What is a natural system? How should learning systems gain from prior knowledge? If prior knowledge is important, how can we quantify how important? What makes a learning problem hard? How are neural networks and symbolic machine learning approaches similar? Is there a fundamental difference in the kind of task a neural network can easily solve as opposed to those a symbolic algorithm can easily solve? English text. Condition : as new. Condition : as new copy. ISBN 9780262581264. Keywords : , N� de r�f. du vendeur 250676

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Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects

George A. Drastal et Stephen Jose Hanson

Edit� par Bradford Books, 1994

ISBN 10 : 0262581264 ISBN 13 : 9780262581264

Ancien ou d'occasion Softcover

Vendeur : Ammareal, Morangis, France

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Softcover. Etat : Tr�s bon. Ancien livre de biblioth�que. Edition 1994. Ammareal reverse jusqu'� 15% du prix net de cet article � des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations. N� de r�f. du vendeur F-924-466

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