Pattern recognition and machine learning
Başlık:
Pattern recognition and machine learning
ISBN:
9780387310732
Yazar:
Yayım Bilgisi:
New York : Springer, 2006.
Fiziksel Açıklamalar:
xx, 738 s. : şkl. ; 25 cm
Dizi Bildirim:
Springer Information science and statistics
Genel Not:
Kaynakça var.
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.
Özet:
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.