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Machine learning, neural and statistical classification

Author: Donald Michie; D J Spiegelhalter; C C Taylor
Publisher: New York : Ellis Horwood, 1994.
Series: Ellis Horwood series in artificial intelligence.
Edition/Format:   Print book : EnglishView all editions and formats
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Document Type: Book
All Authors / Contributors: Donald Michie; D J Spiegelhalter; C C Taylor
ISBN: 013106360X 9780131063600
OCLC Number: 474015656
Description: xiv, 289 pages : illustrations ; 25 cm.
Contents: 1. Introduction --
2. Classification --
3. Classical Statistical Methods --
4. Modern Statistical Techniques --
5. Machine Learning of Rules and Trees --
6. Neural Networks --
7. Methods for Comparison --
8. Review of Previous Empirical Comparisons --
9. Dataset Descriptions and Results --
10. Analysis of Results --
11. Conclusions --
12. Knowledge Representation --
13. Learning to Control Dynamic Systems --
A Dataset availability --
B Software sources and details --
C Contributors.
Series Title: Ellis Horwood series in artificial intelligence.
Responsibility: edited by D. Michie, D.J. Spiegelhalter, and C.C. Taylor.

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