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Item Details
| Title:
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A PROBABILISTIC THEORY OF PATTERN RECOGNITION
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| By: |
Luc Devroye, Laszlo Gyorfi, Gabor Lugosi |
| Format: |
Hardback |
| List price:
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£99.99 |
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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: |
0387946187 |
| ISBN 13: |
9780387946184 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
1 June, 1996 |
| Edition: |
1st ed. 1996. Corr. 2nd printing 1997 |
| Series: |
Stochastic Modelling and Applied Probability v. 31 |
| Pages: |
638 |
| Description: |
Offers an account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. This title is suitable for both research workers and graduate students. |
| Synopsis: |
A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field. |
| Illustrations: |
biography |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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