Bishop, Christopher M.

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



Introduction -- 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 9780387310732


Machine learning
Pattern perception
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Q327 / .B57 2006