Pattern recognition and machine learning / Christopher M. Bishop.
Material type: TextSeries: Information science and statistics | Information science and statisticsPublication details: New York : Springer, c2006.Description: xx, 738 p. : col. ill., ports. (some col.) ; 25 cmISBN:- 9780387310732 (hbk.) :
- 9780387310732
- 006.4 BIS
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Long Loan | TUS: Midlands, Main Library Athlone General Lending | 006.4 BIS (Browse shelf(Opens below)) | 1 | Available | 216800 |
Includes bibliographical references (p. 711-728) and index.
1.Introduction -- 2.Probability distribution -- 3.Lindear models for regression -- 4.Linear modles 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.Combing models
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.