Pattern recognition and machine learning / Christopher M. Bishop.
Material type:
TextSeries: Information science and statisticsPublication details: New Delhi : Springer, 2013.Description: xx, 738 p. : illustrations ; 24 cmISBN: - 9788132209065
- 006.4 23 B622
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.4 B622 (Browse shelf(Opens below)) | Available | PC3431 |
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| 006.4 B575 Human ear recognition by computer | 006.4 B576 Multibiometrics for human identification | 006.4 B622 Pattern recognition and machine learning/ | 006.4 B622 Pattern recognition and machine learning / | 006.4 B622 Pattern recognition and machine learning/ | 006.4 B813 Error estimation for pattern recognition / | 006.4 B942 Handbook of character recognition and document image analysis |
Includes bibliographical references and index.
1. Introduction--
2. Probability distributions--
3. Linear models for regression--
4. Linear models for classification--
5. Neural networks--
6. Kernel methods--
7. Sparse kernel machines--
8. Graphical models--
9. Mixture models and EM--
10. Approximate inference--
11. Sampling methods--
12. Continuous latent variables--
13. Sequential data--
14. Combining models--
Appendices--
References--
Index.
The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners
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