9780898382143 - machine learning: a guide to current research: 12 di mitchell, tom m.; carbonell, j. g. (18 risultati)
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hardcover. Condizione: Very Good.
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Da: Books From California, Simi Valley, CA, U.S.A.Books From California
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hardcover. Condizione: Fine.
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hardcover. Condizione: Good. Book is bent.
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Da: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
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Condizione: Good. Has some wear and creases. Has a remainder mark. hardcover Used - Good 1986.
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Da: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
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Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 1986.
Machine Learning: A Guide to Current Research (The Springer International Series in Engineering and Computer Science, 12)
Mitchell, Tom M. [Editor]; Carbonell, Jaime G. [Editor]; Michalski, Ryszard S. [Editor];
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EUR 191,40
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Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.
Machine Learning : A Guide to Current Research
Mitchell, Tom M.; Carbonell, J. G.; Michalski, Ryszard S. (EDT)
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Machine Learning : A Guide to Current Research
Mitchell, Tom M.; Carbonell, J. G.; Michalski, Ryszard S. (EDT)
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Condizione: New.
Machine Learning : A Guide to Current Research
Mitchell, Tom M.; Carbonell, J. G.; Michalski, Ryszard S. (EDT)
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Condizione: As New. Unread book in perfect condition.
Machine Learning : A Guide to Current Research
Mitchell, Tom M.; Carbonell, J. G.; Michalski, Ryszard S. (EDT)
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Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: New. 1986 ed. One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their perfo…rmance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build co…mputers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.
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Condizione: New. Editor(s): Mitchell, T. M.; Carbonell, Jaime G.; Michalski, Ryszard S. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 429 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 254 x 178 x… 25. Weight in Grams: 991. . 1986. Hardback. . . . .
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Condizione: New. Editor(s): Mitchell, T. M.; Carbonell, Jaime G.; Michalski, Ryszard S. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 429 pages, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 254 x 178 x… 25. Weight in Grams: 991. . 1986. Hardback. . . . . Books ship from the US and Ireland.
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Da: moluna, Greven, Germaniamoluna
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EUR 270,05
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A maj…or goal of research in this field is to build compu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this fiel…d is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics. The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed. 429 pp. Englisch.
