TY  - BOOK
AU  - Bishop,Christopher M.
TI  - Pattern recognition and machine learning
T2  - Information science and statistics
SN  - 9788132209065
U1  - 006.4 23
PY  - 2013///
CY  - New Delhi
PB  - Springer
KW  - Pattern perception.
KW  - Pattern recognition systems.
KW  - Machine learning
N1  - 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
N2  - 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
ER  -