Probabilistic graphical models : principles and techniques / Daphne Koller, Nir Friedman - Universidad de San Buenaventura

Título

Probabilistic graphical models : principles and techniques / Daphne Koller, Nir FriedmanLibro / Impreso - Libros

Autor(es)

Koller, Daphne (Autor)
Friedman, Nir (Autor)

Publicación

Londres, Inglaterra : The MIT Press, 2010

Descripción Física

1233 p. : il. ; pasta dura

Inglés;

Series

Adaptative computation and machine learning series

ISBN

9780262013192

Clasificación(es)

519.2

Materia(s)

Probabilidades; Estadística; Métodos gráficos;

Nota(s)

CONTENIDO: Probability theory
Graphs
Relevant literature
Exercises
The Bayesian network representation
Undirected graphical models
Local probabilistic models
Template-based representations
Gaussian network models
The exponential family
Exact inference: variable elimination
Exact inference: clique trees
Inference as optimization
Particle-based approximate inference
MAP inference
Inference in hybrid networks
Inference in temporal models
Learning graphical models: overview
Parameter estimation
Structure learning in Bayesian networks
Partially observed data
Learning undirected models
Causality
Utilities and decisions
Structured decision problems
Epilogue

Ver en WorldCat

Catálogo Mundial - WorldCat

Ver en Google Books

Google Books

Disponibilidad

CodBarras	Localización	Estante	Signatura	Estado	Categoría

010094094	Biblioteca Fray Juan de Jesús Anaya Prada, O.F.M.	Segundo Piso	519.2 K81p	Disponible	7 días