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Knowledge Representation and Organization in Machine Learning (Lecture Notes in Computer Science, 347) - Softcover
Synopsis
Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject.
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- PublisherSpringer
- Publication date1989
- ISBN 10 354050768X
- ISBN 13 9783540507680
- BindingPaperback
- LanguageEnglish
- Number of pages340
- EditorMorik Katharina
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Knowledge Representation and Organization in Machine Learning (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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Knowledge Representation and Organization in Machine Learning (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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Softcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1989. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1989. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-572-881
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Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann)
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Springer Berlin, 1989
ISBN 10: 354050768X
ISBN 13: 9783540507680
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Knowledge Representation and Organization in Machine Learning: International Workshop - Papers (Lecture Notes in Computer Science, Band 347)
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Condition: Gut. Auflage: 1989. 340 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 469 1,5 x 2,0 x 23,5 cm, Taschenbuch. Seller Inventory # 402843
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Knowledge Representation and Organization in Machine Learning (Lecture Notes in Computer Science, 347)
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Knowledge Representation and Organization in Machine Learning
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Knowledge Representation and Organization in Machine Learning
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Springer Berlin Heidelberg Jan 1989, 1989
ISBN 10: 354050768X
ISBN 13: 9783540507680
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject. 340 pp. Englisch. Seller Inventory # 9783540507680
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Knowledge Representation and Organization in Machine Learning
Published by
Springer Berlin Heidelberg, 1989
ISBN 10: 354050768X
ISBN 13: 9783540507680
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject. Seller Inventory # 9783540507680
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Knowledge Representation and Organization in Machine Learning
Published by
Springer Berlin Heidelberg, 1989
ISBN 10: 354050768X
ISBN 13: 9783540507680
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for special. Seller Inventory # 4891710
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