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Cory J. Butz, Qiang Hu and Xue Dong Yang
Book Chapter
Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks
C. J. Butz and H. Geng
Lecture Notes in Computer Science, 2003, Volume 2871, Foundations of Intelligent Systems, Pages 544-553
A Method for Detecting Context-Specific Independence in Conditional Probability Tables
C. J. Butz and M. J. Sanscartier
Lecture Notes in Computer Science, 2002, Volume 2475, Rough Sets and Current Trends in Computing, Pages 85-86
Semantics-Preserving Fusion of Structures of Probabilistic Graphical Models
Kun Yue, Yunlei Zhu, Kailin Tian and Weiyi Liu
Advances in Intelligent and Soft Computing, 2012, Volume 122, Foundations of Intelligent Systems, Pages 63-68
A Web-Based Interface for Hiding Bayesian Network Inference
C. J. Butz, P. Lingras and K. Konkel
Lecture Notes in Computer Science, 2008, Volume 4994, Foundations of Intelligent Systems, Pages 612-617
Properties of Weak Conditional Independence
Lecture Notes in Computer Science, 2002, Volume 2475, Rough Sets and Current Trends in Computing, Page 85
Towards Jointree Propagation with Conditional Probability Distributions
Cory J. Butz, Hong Yao and Howard J. Hamilton
Lecture Notes in Computer Science, 2004, Volume 3066, Rough Sets and Current Trends in Computing, Pages 368-377
A Review on Distinct Methods and Approaches to Perform Triangulation for Bayesian Networks
M. Julia Flores and José A. Gámez
Studies in Fuzziness and Soft Computing, 2007, Volume 214, Advances in Probabilistic Graphical Models, Pages 127-152
Journal Article
Explaining inferences in Bayesian networks
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang
Applied Intelligence, 2008, Volume 29, Number 3, Pages 263-278
Causal Discovery
Hong Yao, Cory Butz and Howard Hamilton
2005, Data Mining and Knowledge Discovery Handbook, VI, Pages 945-955
Probabilistic Logic Learning
Luc De Raedt
Cognitive Technologies, 2008, Logical and Relational Learning, Pages 223-288
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