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Item Details
| Title:
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DEALING WITH IMBALANCED AND WEAKLY LABELLED DATA IN MACHINE LEARNING USING FUZZY AND ROUGH SET METHODS
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| By: |
Sarah Vluymans |
| Format: |
Hardback |
| List price:
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£119.99 |
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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: |
3030046621 |
| ISBN 13: |
9783030046620 |
| Publisher: |
SPRINGER NATURE SWITZERLAND AG |
| Pub. date: |
30 March, 2019 |
| Edition: |
1st ed. 2019 |
| Series: |
Studies in Computational Intelligence |
| Pages: |
230 |
| Description: |
This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. |
| Illustrations: |
10 Illustrations, color; 9 Illustrations, black and white; XV, 230 p. 19 illus., 10 illus. in color. |
| Returns: |
Returnable |
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