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Data Complexity in Pattern Recognition. 2006 ed.
・ISBN 978-1-84628-171-6 hard EUR 149.99
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| 著者・編者 | Basu, Mitra / Ho, Tin Kam (eds.), |
|---|---|
| シリーズ | (Advanced Information and Knowledge Processing) |
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2006 |
| ページ数 | 300 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-14544> |
解説
Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability.
This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks:
- What is missing from current classification techniques?
- When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task?
- How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data?
Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.