Active Bibliography

28 Local Conditioning in Bayesian Networks – F.J. Diez - 1996
4 Structured arc reversal and simulation of dynamic probabilistic networks – Adrian Y. W. Cheuk, Craig Boutilier - 1997
36 Learning Probabilistic Networks – Paul J Krause - 1998
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
11 DIAVAL, a Bayesian expert system for echocardiography – F.J. Díez, J. Mira, E. Iturralde, S. Zubillaga - 1997
9 Inference in Bayesian Networks: The Role of Context-Specific Independence – Nevin Zhang - 1998
2 Inference with Causal Independence in the CPSC Network – Nevin Lianwen Zhang - 1995
7 Independence of Causal Influence and Clique Tree Propagation – Nevin Lianwen Zhang, Li Yan - 1997
157 Exploiting Causal Independence in Bayesian Network Inference – Nevin Lianwen Zhang, David Poole - 1996
6 Certainty-factor-like Structures in Bayesian Belief Networks – P.J.F. Lucas - 2001
20 Optimization of Pearl's Method of Conditioning and Greedy-Like Approximation Algorithms for the Vertex Feedback Set Problem – Ann Becker, Dan Geiger - 1997
12 Bayesian Network Modelling through Qualitative Patterns – Peter Lucas - 2003
65 Causal independence for probability assessment and inference using Bayesian networks – David Heckerman, John S. Breese - 1994
2 Information Fusion, Causal Probabilistic Network And Probanet II: Inference Algorithms and Probanet System – Heping Pan, Daniel McMichael, Marta Lendjel - 1997
31 Inference in Bayesian Networks – Bruce D'Ambrosio - 1999
5 Efficient Reasoning – Russell Greiner, Christian Darken, N. Iwan Santoso - 1998
9 An efficient factorization for the noisy MAX – Francisco J. Díez, Severino F. Galán
61 Probabilistic Reasoning for Complex Systems – Avrom J. Pfeffer - 2000
7 Decision Analytic Networks in Artificial Intelligence – Izhar Matzkevich, Bruce Abramson - 1995