A comparison of algorithms for inference and learning in probabilistic graphical models (2005)

by Brendan J. Frey , Nebojsa Jojic
Venue:IEEE Transactions on Pattern Analysis and Machine Intelligence
Citations:33 - 2 self

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1 Bethe Free Energy and Contrastive Divergence Approximations for Undirected Graphical Models – Yee Whye Teh, Yee Whye Teh - 2003
1 Graphical Models: Parameter Learning – Zoubin Ghahramani - 2003
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Graphical Models for Object Segmentation – Rui Huang, Rui Huang, Dissertation Director, Professor Dimitris, N. Metaxas
23 An Introduction to Graphical Models – Kevin P. Murphy - 2001
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18 Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies – Tom Heskes