Idioma: Inglés
Publicado por Kluwer Academic Publishers, 1986
ISBN 10: 0898382149 ISBN 13: 9780898382143
Librería: Saul54, Lynn, MA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Fine. No Jacket. Kluwer Academic Publishers (1986). XV+429 pages. AsNew Hardcover (Decorated mostly White binding, Black lettering, no dj). New Unused book. 10.25"x7.25"x1.1". be5x.
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Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 1986
ISBN 10: 0898382149 ISBN 13: 9780898382143
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 376,03
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: 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. . . . .
EUR 331,86
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Añadir al carritoBuch. Condición: 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 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.
Idioma: Inglés
Publicado por Kluwer Academic Publishers, 1986
ISBN 10: 0898382149 ISBN 13: 9780898382143
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 470,73
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: 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.
Librería: moluna, Greven, Alemania
EUR 270,05
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Añadir al carritoGebunden. Condición: 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 major goal of research in this field is to build compu.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 320,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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 field 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.