Machine Learning Paradigms Methods by Carbonell (14 results)

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- Softcover
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Paperback or Softback. Condition: New. Machine Learning: Paradigms and Methods. Book.

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Published by MIT Press, 1990
- Softcover
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Add to basketSoftcover. 394 p. Good condition. The reading pages are clean and unmarked. Slight signs of storage and use. Retired library copy with corresponding markings. Spine with reading creases. Otherwise a good copy. Sprache: Englisch Gewicht in Gramm: 1000.

- Softcover
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- Softcover
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- Softcover
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- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. Machine Learning | Paradigms and Methods | Jaime Carbonell | Taschenbuch | Kartoniert / Broschiert | Englisch | 1990 | MIT Press | EAN 9780262530880 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Having played a central role at the inception of artificial intelligence research, machine learning has recently reemerged as a major area of study at the very core of the subject. Solid theoretical foundations are being constructed. Mac…hine learning methods are being integrated with powerful performance systems, and practical applications; based on established techniques are emerging.Machine Learning unifies the field by bringing together and clearly explaining the major successful paradigms for machine learning: inductive approaches, explanation-based learning, genetic algorithms, and connectionist learning methods. Each paradigm is presented in depth, providing historical perspective but focusing on current research and potential applications.ContributorsJohn R. Anderson, L. B. Booker, John. H. Gennari, Jaime G. Carbonell, Oren Etzioni, Doug Fisher, Yolanda Gil, D. E. Goldberg, Gerald E. Hinton, J. H. Holland, Craig A Knoblock, Daniel. R. Kuokka, Pat Langley, David B. Leake, Steve Minton, Jack Mostow, Roger C. Schank, and Jan M. Zytkow.