Pattern recognition and machine learning

(Information science and statistics)
Note: 
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

Pattern recognition and machine learning (Engelsk)

Grundigt bearbejdet (Engelsk)
Bognummer: 
633611
Nota udgivelsesår: 
2016
Redaktion: 
Christopher M. Bishop
Udgave: 
Springer, 2006
ISBN: 
9781493938438