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Computational Learning Theory and Natural Learning Systems: Constraints and Prospects: 001 - Brossura
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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?
Stephen J. Hanson heads the Learning Systems Department at Siemens Corporate Research and is a Visiting Member of the Research Staff and Research Collaborator at the Cognitive Science Laboratory at Princeton University. George A. Drastal is Senior Research Scientist at Siemens Corporate Research. Ronald J. Rivest is Professor of Computer Science and Associate Director of the Laboratory for Computer Science at the Massachusetts Institute of Technology.
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Computational Learning Theory and Natural Learning Systems, Volume 1: Constraints and Prospects
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The MIT Press - a Bradford book 1st edn, 1994
ISBN 10: 0262581264
ISBN 13: 9780262581264
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Soft cover. Condizione: Very Good. 1st Edition. 566 pages, a VG paperback (does have a small crease across top corner of the back cover) [0262581264]. Codice articolo 74398
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Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects.
Da: Kloof Booksellers & Scientia Verlag, Amsterdam, Paesi Bassi
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Condizione: 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 : , Codice articolo 250676
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Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects
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Soft cover. Condizione: New. US SELLER SHIPS FAST FROM USA. Codice articolo MA-144A1-0262581264
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Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects
Da: Ammareal, Morangis, Francia
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Softcover. Condizione: Très bon. Ancien livre de bibliothèque. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à 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. Codice articolo F-924-466
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Computational Learning Theory and Natural Learning Systems: Constraints and Prospects (A Bradford Book)
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Codice articolo 41380194/202
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Computational Learning Theory and Natural Learning Systems, Vol. I: Constraints and Prospects
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paperback. Condizione: Very Good. Very Good. book. Codice articolo ERICA82902625812645
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