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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
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| Series: | Intelligent Systems Reference Library,
15 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
