Petsche thomas editor (3 resultados)
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Librería: Kloof Booksellers & Scientia Verlag, Amsterdam, HolandaKloof Booksellers & Scientia Verlag
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EUR 15,95
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Condición: as new. Cambridge, MA: The MIT Press, 1995. Paperback. 405 pp.- This is the third in a series of edited volumes exploring the evolving landscape of learning systems research which spans theory and experiment, symbols and signals. It continues the exploration of the synthesis of the machine learning subdisciplines begu…n in volumes I and II. The nineteen contributions cover learning theory, empirical comparisons of learning algorithms, the use of prior knowledge, probabilistic concepts, and the effect of variations over time in the concepts and feedback from the environment. The goal of this series is to explore the intersection of three historically distinct areas of learning research: computational learning theory, neural networks andAI machine learning. Although each field has its own conferences, journals, language, research, results, and directions, there is a growing intersection and effort to bring these fields into closer coordination. English text. Condition : as new. Condition : as new copy. ISBN 9780262660969. Keywords : .
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Librería: Kloof Booksellers & Scientia Verlag, Amsterdam, HolandaKloof Booksellers & Scientia Verlag
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Como Nuevo
EUR 15,95
Envío por EUR 30,00Se envía de Holanda a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: as new. Cambridge, MA: The MIT Press, 1994. Paperback. 584 pp.- As with Volume I, this second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. While the first volume provided a forum… for building a science of computational learning across fields, this volume attempts to define plausible areas of joint research: the contributions are concerned with finding constraints for theory while at the same time interpreting theoretic results in the context of experiments with actual learning systems. Subsequent volumes will focus on areas identified as research opportunities. Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them. English text. Condition : as new. Condition : as new copy. ISBN 9780262581332. Keywords : .
Computational Learning Theory and Natural Learning Systems: Making Learning Systems Practical: Vol 4
Greiner, Russell (Editor)/ Petsche, Thomas (Editor)/ Hanson, Stephen Jose (Editor)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 84,73
Envío por EUR 14,49Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Brand New. 407 pages. 9.25x7.25x1.00 inches. In Stock.
