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Pétales Poétiques




 


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Pattern Recognition and Machine Learning

Titre :

Pattern Recognition and Machine Learning

Caractéristiques :


Auteur(s) :BISHOP
Editeur :TELOS
Parution :08/2006
Langue :Anglais Anglais
Nbre de pages :740
ISBN :978-0-387-31073-2
Reliure :Hardcover
Prix :78.00 € ttc
Disponibilité :Livraison sous 2 à 10 jours ouvrables.

Couverture :


Pattern Recognition and Machine Learning

Résumé :

This is the first textbook on pattern recognition to present the
Bayesian viewpoint. The book presents approximate inference algorithms
that permit fast approximate answers in situations where exact answers
are not feasible. It uses graphical models to describe probability
distributions when no other books apply graphical models to machine
learning. No previous knowledge of pattern recognition or machine
learning concepts is assumed. Familiarity with multivariate calculus and
basic linear algebra is required, and some experience in the use of
probabilities would be helpful though not essential as the book includes
a self-contained introduction to basic probability theory.

Table des matières :

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.

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