Graphical Models for Machine Learning and Digital Communication

作者: Brendan J. Frey

DOI:

关键词:

摘要: Probabilistic inference in graphical models pattern classification unsupervised learning data compression channel coding future research directions.

参考文章(6)
D. Poole, Nevin L. Zhang, A simple approach to Bayesian network computations canadian conference on artificial intelligence. ,(1994)
Liem Ngo, Peter Haddawy, Probabilistic Logic Programming and Bayesian Networks ACSC '95 Proceedings of the 1995 Asian Computing Science Conference on Algorithms, Concurrency and Knowledge. pp. 286- 300 ,(1995) , 10.1007/3-540-60688-2_51
Joseph Y. Halpern, An analysis of first-order logics of probability Artificial Intelligence. ,vol. 46, pp. 311- 350 ,(1990) , 10.1016/0004-3702(90)90019-V
David Poole, Probabilistic Horn abduction and Bayesian networks Artificial Intelligence. ,vol. 64, pp. 81- 129 ,(1993) , 10.1016/0004-3702(93)90061-F
Lise Getoor, Nir Friedman, Daphne Koller, Avi Pfeffer, Learning Probabilistic Relational Models international joint conference on artificial intelligence. pp. 1300- 1309 ,(1999) , 10.1007/978-3-662-04599-2_13