Call number:
19/M 07.0424
Description / Table of Contents:
Contents: 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.
Type of Medium:
Monograph available for loan
Pages:
XX, 738 S.
,
Ill., graph. Darst.
ISBN:
0387310738
,
978-0-387-31073-2
Series Statement:
Information science and statistics
Classification:
Mathematics
Location:
Reading room
Branch Library:
GFZ Library
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