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Item Details
| Title:
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KNOWLEDGE ACQUISITION AND MACHINE LEARNING
THEORY, METHODS, AND APPLICATIONS |
| By: |
Katharina Morik, Stefan Wrobel, Jorg-Uwe Kietz |
| Format: |
Hardback |
| List price:
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£67.99 |
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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: |
0125062303 |
| ISBN 13: |
9780125062305 |
| Publisher: |
ELSEVIER SCIENCE PUBLISHING CO INC |
| Pub. date: |
2 August, 1993 |
| Series: |
Knowledge-Based Systems |
| Pages: |
305 |
| Description: |
For graduate-/research-level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade. |
| Synopsis: |
For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade, which illustrate a particular way of unifying knowledge acquisition and machine learning. Practically-orientated, theoretical skills have been used and tested in real-world applications. |
| Publication: |
US |
| Imprint: |
Academic Press Inc |
| Returns: |
Non-returnable |
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