Pattern recognition and machine learning /

Bishop, Christopher M.

Pattern recognition and machine learning / Christopher M. Bishop. - New York : Springer, 2006. - xx, 738 p. : ill. (some col.) ; 25 cm. - Information science and statistics .

Includes bibliographical references and index.

Probability Distributions -- Linear Models for Regression -- Linear Models for Classification -- Neural Networks -- Kernel Methods -- Sparse Kernel Machines -- Graphical Models -- Mixture Models and EM -- Approximate Inference -- Sampling Methods -- Continuous Latent Variables -- Sequential Data -- Combining Models

0387310738 (hd.bd.) 9780387310732


Pattern perception.
Machine learning.

006.4 / BIS