Read While You Wait - Get immediate ebook access, if available*, when you order a print book

Lecture Notes in Artificial Intelligence

Knowledge Representation and Organization in Machine Learning

Editors: Morik, Katharina (Ed.)

Free Preview

Buy this book

eBook $54.99
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • ISBN 978-3-540-46081-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-540-50768-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Explanation: A source of guidance for knowledge representation

    Pages 1-16

    Swartout, William R. (et al.)

  • (Re)presentation issues in second generation expert systems

    Pages 17-49

    Velde, Walter

  • Some aspects of learning and reorganization in an analogical representation

    Pages 50-64

    Mohnhaupt, Michael (et al.)

  • A knowledge-intensive learning system for document retrieval

    Pages 65-87

    Rada, Roy (et al.)

  • Constructing expert systems as building mental models or toward a cognitive ontology for expert systems

    Pages 88-106

    Littman, David

Buy this book

eBook $54.99
price for USA in USD (gross)
  • The eBook version of this title will be available soon
  • ISBN 978-3-540-46081-7
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-540-50768-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Loading...

Services for this Book

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Knowledge Representation and Organization in Machine Learning
Editors
  • Katharina Morik
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
347
Copyright
1989
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-46081-7
DOI
10.1007/BFb0017213
Softcover ISBN
978-3-540-50768-0
Edition Number
1
Number of Pages
XVIII, 322
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.