|
393
|
Dynamic Bayesian Networks: Representation, Inference and Learning
– Kevin Patrick Murphy
- 2002
|
|
18
|
Inference and Learning in Hybrid Bayesian Networks
– Kevin P. Murphy
- 1998
|
|
39
|
A variational approximation for Bayesian networks with discrete and continuous latent variables
– Kevin P. Murphy
- 1999
|
|
1
|
Evaluation of Hybrid Bayesian Networks using Analytical Density Representations
– Oliver C. Schrempf, Uwe D. Hanebeck, Universität Karlsruhe
- 2005
|
|
3
|
Fuzzy Bayesian Networks - A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks
– Heping Pan
|
|
2
|
Information Fusion, Causal Probabilistic Network And Probanet II: Inference Algorithms and Probanet System
– Heping Pan, Daniel McMichael, Marta Lendjel
- 1997
|
|
|
✦ Inference in Hybrid Bayesian Networks
– Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón, Rafael Rumí, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
- 2009
|
|
136
|
The Bayes Net Toolbox for MATLAB
– Kevin P. Murphy
- 2001
|
|
2
|
Variational inference for continuous sigmoidal Bayesian networks
– Brendan J. Frey
- 1996
|
|
2
|
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
– Kevin John Grant
- 2007
|
|
27
|
Inference in Bayesian Networks
– Bruce D'Ambrosio
- 1999
|
|
|
Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns
– Ethan W. Dereszynski, Thomas G. Dietterich, Ethan W. Dereszynski, Thomas G. Dietterich, School Of Electrical Engineering
|
|
3
|
Probabilistic models for anomaly detection in remote sensor data streams
– Ethan W. Dereszynski
- 2007
|
|
6
|
Bucket Elimination: a Unifying Framework for Structure-driven Inference
– Rina Dechter
- 1998
|
|
24
|
A Survey of Algorithms for Real-Time Bayesian Network Inference
– Haipeng Guo, William Hsu
- 2002
|
|
2
|
A join tree probability propagation architecture for semantic modeling
– C. J. Butz, H. Yao, S. Hua
- 2008
|
|
3
|
Parallelization of Inference in Bayesian Networks
– Anders Madsen, Finn V. Jensen
- 1999
|
|
130
|
Exploiting Causal Independence in Bayesian Network Inference
– Nevin Lianwen Zhang, David Poole
- 1996
|
|
229
|
Bucket Elimination: A Unifying Framework for Reasoning
– Rina Dechter
|