Belief Networks Revisited (1994)

Cached

Download Links

by Judea Pearl
Citations:36 - 4 self

Active Bibliography

21 Graphical Models for Probabilistic and Causal reasoning – Judea Pearl - 2004
2 Distributed reasoning and learning in Bayesian expert systems – F.J. Díez, J. Mira - 1993
7 Decision Analytic Networks in Artificial Intelligence – Izhar Matzkevich, Bruce Abramson - 1995
45 Bayesian networks – Judea Pearl, Stuart Russell
31 A characterization of the Dirichlet distribution through global and local parameter independence, The Annals of Statistics – Author(s) Dan Geiger, David Heckerman, Geiger, David Heckerman - 1997
20 Optimization of Pearl's Method of Conditioning and Greedy-Like Approximation Algorithms for the Vertex Feedback Set Problem – Ann Becker, Dan Geiger - 1997
81 Random Algorithms for the Loop Cutset Problem – Ann Becker, Reuven Bar-Yehuda, Dan Geiger - 1999
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
unknown title – Learning Bayesian
32 Towards normative expert systems: part II, probability-based representations for efficient knowledge acquisition and inference. Methods of Information in medicine – David E. Heckerman, Bharat N. Nathwani - 1992
100 Control of Selective Perception Using Bayes Nets and Decision Theory – Raymond Dean Rimey - 1993
Bayesian AI Tutorial – Kevin B. Korb, Ann E. Nicholson
244 On testing whether an Embedded Bayesian Network represents a probability model – Dan Geiger, Azaria Pazt, Judea Pearlt
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
7 Algorithm Selection for Sorting and Probabilistic Inference: A Machine Learning-Based Approach – Haipeng Guo - 2003
2 From certainty factors to belief networks – David E. Heckerman, Edward H. Shortliffe - 1992
1081 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
Just Enough Die-Level Test: Optimizing IC Test via Machine Learning and Decision Theory – Tony Fountain - 1998