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
Örüntü algısı
Makine ile öğrenme
Q327 / .B57 2006