Computational Learning Theory Natural (18 results)

Computational Learning Theory and Natural Learning Systems, Volume III: Selecting Good Models
Petsche, Thomas, Stephen Jose Hanson & Jude W. Shavlik, editors
- Softcover
Seller: Anthology Booksellers, Portland, OR, U.S.A.Anthology Booksellers
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Condition: Used
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Wide 8vo, 411 pp. Wrapper corners lightly bumped, previous owner name.

Computational Learning Theory and Natural Learning Systems: Selecting Good Models, Volume 3
Petsche, Thomas, Stephen Jose Hanson & Jude W. Shavlik, editors.
Language: English
Published by Bradford Books, Cambridge, Massachusetts, U.S.A., 1995
- Softcover
- First Edition
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.Reader's Corner, Inc.
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Trade Paperback. Condition: New. Dust Jacket Condition: wraps. First Edition. This is a new first edition paperback copy, tan spine. Review slip laid in.

Computational Learning Theory and Natural Learning Systems, Volume 1: Constraints and Prospects
HANSON, Stephen José, DRASTAL, George A & RIVEST Ronald L (Eds)
Language: English
Published by The MIT Press - a Bradford book 1st edn, 1994
- Softcover
- First Edition
Seller: G. & J. CHESTERS, TAMWORTH, United KingdomG. & J. CHESTERS
Contact seller5-star sellerCondition: Used - Very good
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Soft cover. Condition: Very Good. 1st Edition. 566 pages, a VG paperback (does have a small crease across top corner of the back cover) [0262581264].

- Softcover
Seller: Better World Books Ltd, Dunfermline, United KingdomBetter World Books Ltd
Contact seller5-star sellerCondition: Used - Good
US$ 32.44
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Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

- Softcover
Seller: PsychoBabel & Skoob Books, Didcot, United KingdomPsychoBabel & Skoob Books
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Paperback. Condition: Very Good. No Dust Jacket. Paperback. Covers shelf-worn and curled. Page block stained. Contents clean.

- Softcover
Seller: Kloof Booksellers & Scientia Verlag, Amsterdam, NetherlandsKloof Booksellers & Scientia Verlag
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Condition: 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 : .

- Softcover
Seller: Kloof Booksellers & Scientia Verlag, Amsterdam, NetherlandsKloof Booksellers & Scientia Verlag
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Condition: 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 : .

- Softcover
Seller: Kloof Booksellers & Scientia Verlag, Amsterdam, NetherlandsKloof Booksellers & Scientia Verlag
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Condition: 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 : .

- Softcover
Seller: BOOKWEST, Phoenix, AZ, U.S.A.BOOKWEST
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Soft cover. Condition: New. US SELLER SHIPS FAST FROM USA.
Seller: Martinton Book Company, martinton, IL, U.S.A.Martinton Book Company
Contact seller5-star sellerFine condition. MIT l994 449pp, Softbound.

Computational Lerning Theory and Natural Learning Systems. Volume II.Intersections between theory and experiment.
Stephen José Hanson, Thomas Petsche, Michael Kearns and Ronals L.Rivest.
- Softcover
Seller: Antiquariat Hans Hammerstein, München, GermanyAntiquariat Hans Hammerstein
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origi.Broschur, kl.4°, 449 Seiten. Einband bestossen sonst guter Zustand.

- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. revised edition. 405 pages. 9.00x7.25x1.00 inches. In Stock.

Computational Learning Theory and Natural Learning Systems: Making Learning Systems Practical: Vol 4
Greiner, Russell (Editor)/ Petsche, Thomas (Editor)/ Hanson, Stephen Jose (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 407 pages. 9.25x7.25x1.00 inches. In Stock.

- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Gut. Zustand: Gut | Seiten: 431 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 431 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 584 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 577 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.