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Item Details
| Title:
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KNOWLEDGE REPRESENTATION AND ORGANIZATION IN MACHINE LEARNING
INTERNATIONAL WORKSHOP - PAPERS |
| By: |
Katharina Morik (Editor) |
| Format: |
Paperback |
| List price:
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£49.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
354050768X |
| ISBN 13: |
9783540507680 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
25 January, 1989 |
| Series: |
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence v. 347 |
| Pages: |
322 |
| Description: |
Machine learning has become a growing field of Artificial Intelligence. This book contains research papers that focus on the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. It is of interest to both experts and newcomers to the subject. |
| 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. |
| Illustrations: |
biography |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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