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Probabilistic graphical models : principles and techniques / Daphne Koller , Nir Friedman.

By: Contributor(s): Material type: TextLanguage: English Series: Publisher: Cambridge, Massachusetts : MIT Press, 2009Description: xxxv, 1233 páginas : ilustraciones ; 27 centímetrosContent type:
  • texto
Media type:
  • sin mediación
Carrier type:
  • volumen
ISBN:
  • 9780262013192
Title translated: Modelos gráficos probabilísticos : principios y técnicas / Daphne Koller , Nir FriedmanSubject(s): DDC classification:
  • 21 519.5 K814p
Contents:
Foundations -- Representation -- Undirected graphical models -- Local probabilistic models - Template-base-representations -- Gaussian network moel -- The exponential family -- Inference -- Exact inference. clique trees Onfernce as optimization -- Learning graphical models : oveview -- Parameter estimation -- Structure learning in Bayesian networks -- Actions and decisions -- Structure decisions problems
Abstract: Un marco general para construir y usar modelos probabilísticos de sistemas complejos que permitirían a una computadora usar la información disponible para tomar decisiones.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL General 519.5 K814p (Browse shelf(Opens below)) Ej.: 1 Available 085923
Total holds: 0

Incluye referencias bibliográficas (páginas 1171-1207) e índice.

Foundations -- Representation -- Undirected graphical models -- Local probabilistic models - Template-base-representations -- Gaussian network moel -- The exponential family -- Inference -- Exact inference. clique trees Onfernce as optimization -- Learning graphical models : oveview -- Parameter estimation -- Structure learning in Bayesian networks -- Actions and decisions -- Structure decisions problems

Un marco general para construir y usar modelos probabilísticos de sistemas complejos que permitirían a una computadora usar la información disponible para tomar decisiones.

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