Machine Learning: A Guide to Current Research (The Springer International Series in Engineering and Computer Science, 12)
ISBN 10: 0898382149 ISBN 13: 9780898382143
Published by Springer, 1986
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Page block firm and clean, binding tight, boards straight. No markings of any kind. Fine, like new condition. Well packaged and promptly shipped from California. US veteran operated. Seller Inventory # 1LAGBP001LDH
Synopsis:
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.
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Bibliographic Details
Title: Machine Learning: A Guide to Current ...
Publisher: Springer
Publication Date: 1986
Binding: Hardcover
Condition: LikeNew
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Machine Learning: A Guide to Current Research
Published by
Kluwer Academic Publishers, 1986
ISBN 10: 0898382149
ISBN 13: 9780898382143
Used
Hardcover
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Hardcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1986. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1986. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-843-201
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Machine Learning: A Guide to Current Research (The Springer International Series in Engineering and Computer Science)
Published by
Kluwer Academic Publishers, 1986
ISBN 10: 0898382149
ISBN 13: 9780898382143
Used
Hardcover
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Hardcover. Condition: As New. No Jacket. Kluwer Academic Publishers (1986). AsNew Hardcover (Decorated mostly White binding, Black lettering, no dj). New Unused book. 10.25"x7.25"x1.1". be5x. Seller Inventory # ABE-18967978536
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Machine Learning: A Guide to Current Research (The Springer International Series in Engineering and Computer Science, 12)
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Machine Learning : A Guide to Current Research
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Machine Learning: A Guide to Current Research (The Springer International Series in Engineering and Computer Science, 12)
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Machine Learning: A Guide to Current Research
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Gebunden. Condition: New. 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. Seller Inventory # 458446665
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Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: 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. Seller Inventory # 9780898382143
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