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- Über dieses Buch
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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.
- Inhaltsverzeichnis (15 Kapitel)
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Explanation: A source of guidance for knowledge representation
Seiten 1-16
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(Re)presentation issues in second generation expert systems
Seiten 17-49
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Some aspects of learning and reorganization in an analogical representation
Seiten 50-64
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A knowledge-intensive learning system for document retrieval
Seiten 65-87
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Constructing expert systems as building mental models or toward a cognitive ontology for expert systems
Seiten 88-106
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Inhaltsverzeichnis (15 Kapitel)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- Knowledge Representation and Organization in Machine Learning
- Herausgeber
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- Katharina Morik
- Titel der Buchreihe
- Lecture Notes in Artificial Intelligence
- Buchreihen Band
- 347
- Copyright
- 1989
- Verlag
- Springer-Verlag Berlin Heidelberg
- Copyright Inhaber
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-46081-7
- DOI
- 10.1007/BFb0017213
- Softcover ISBN
- 978-3-540-50768-0
- Auflage
- 1
- Seitenzahl
- XVIII, 322
- Themen
