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Knowledge Representation and Organization in Machine Learning

Knowledge Representation and Organization in Machine Learning

International Workshop - Papers

by Katharina Morik
Paperback
Publication Date: 25/01/1989

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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.
ISBN:
9783540507680
9783540507680
Category:
Machine learning
Format:
Paperback
Publication Date:
25-01-1989
Language:
English
Publisher:
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Country of origin:
Germany
Pages:
322
Dimensions (mm):
235x155x18mm
Weight:
1.06kg

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