Hybrid random fields a scalable approach to structure and parameter learning in probabilistic graphical models
This book presents an exciting new synthesis of directed and undirected, discrete and continuous graphical models. Combining elements of Bayesian networks and Markov random fields, the newly introduced hybrid random fields are an interesting approach to get the best of both these worlds, with an add...
| Auteurs principaux: | , |
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| Collectivité auteur: | |
| Format: | Electronic Resource |
| Langue: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
2011.
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| Sujets: | |
| Accès en ligne: | Available for University of the Philippine Diliman via Springerlink. Click here to access |