Cory J. Butz

Michael S. K. M. Wong, Cory J. Butz: Contextual Weak Independence in Bayesian Networks. CoRR abs/1301.6748 (2013)

Michael S. K. M. Wong, Cory J. Butz, Yang Xiang: A Method for Implementing a Probabilistic Model as a Relational Database. CoRR abs/1302.4990 (2013)

Cory J. Butz: Special Track on Uncertain Reasoning. FLAIRS Conference 2012

Cory J. Butz, Ken Konkel, Pawan Lingras: Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reasoning 52(7): 948-959 (2011)

Pawan Lingras, Cory J. Butz: Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. 412(42): 5885-5901 (2011)

Cory J. Butz, Anders L. Madsen, Kevin Williams: Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU 2011: 110-121

Laurent Perrussel, Cory J. Butz: Special Track on Uncertain Reasoning. FLAIRS Conference 2011

Cory J. Butz: Evaluating Probabilistic Inference Techniques: A Question of "When, " not "Which". SUM 2011: 38-51

Cory J. Butz, Pawan Lingras (Eds.): Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011. Proceedings. Lecture Notes in Computer Science 6657, Springer 2011, isbn 978-3-642-21042-6

Pawan Lingras, Cory J. Butz: Rough support vector regression. European Journal of Operational Research 206(2): 445-455 (2010)

Cory J. Butz, Shan Hua, Ken Konkel, Hong Yao: Join tree propagation with prioritized messages. Networks 55(4): 350-359 (2010)

Hong Yao, Cory J. Butz, Howard J. Hamilton: Causal Discovery. Data Mining and Knowledge Discovery Handbook 2010: 949-958

Cory J. Butz, W. Yan, Pawan Lingras, Y. Y. Yao: The CPT Structure of Variable Elimination in Discrete Bayesian Networks. Advances in Intelligent Information Systems 2010: 245-257

Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras: A formal comparison of variable elimination and arc reversal in Bayesian network inference. Intelligent Decision Technologies 3(3): 173-180 (2009)

Cory J. Butz, Shan Hua, Junying Chen, Hong Yao: A simple graphical approach for understanding probabilistic inference in Bayesian networks. Inf. Sci. 179(6): 699-716 (2009)

Cory J. Butz, Hong Yao, Shan Hua: A join tree probability propagation architecture for semantic modeling. J. Intell. Inf. Syst. 33(2): 145-178 (2009)

Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras: A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. FLAIRS Conference 2009

Cory J. Butz, Ken Konkel, Pawan Lingras: Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS Conference 2009

Cory J. Butz, Pawan Lingras, Ken Konkel: A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS 2008: 612-617

Pawan Lingras, Cory J. Butz: Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification. Inf. Sci. 177(18): 3782-3798 (2007)

Pawan Lingras, Cory J. Butz: Precision and Recall in Rough Support Vector Machines. GrC 2007: 654-658

Cory J. Butz: Current Trends in Bayesian Network Inference. IICAI 2007: 1186-1205

Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang (Eds.): Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, isbn 978-3-540-72529-9

Cory J. Butz, Wen Yan, Boting Yang: An Efficient Algorithm for Inference in Rough Set Flow Graphs. : 102-122 (2006)

Cory J. Butz, Shan Hua, R. Brien Maguire: A web-based bayesian intelligent tutoring system for computer programming. Web Intelligence and Agent Systems 4(1): 77-97 (2006)

Cory J. Butz, Shan Hua: An Improved LAZY-AR Approach to Bayesian Network Inference. Canadian Conference on AI 2006: 183-194

Hong Yao, Cory J. Butz, Howard J. Hamilton: Causal Discovery. The Data Mining and Knowledge Discovery Handbook 2005: 945-955

Cory J. Butz, F. Fang: Incorporating Evidence in Bayesian Networks with the Select Operator. Canadian Conference on AI 2005: 297-301

Pawan Lingras, Cory J. Butz: Interval set representations of 1-v-r support vector machine multi-classifiers. GrC 2005: 193-198

Cory J. Butz: Modelling Multiagent Bayesian Networks with Inclusion Dependencies. IAT 2005: 455-458

Cory J. Butz, F. Fang: Sophisticated Indexes for Implementing Probabilistic Expert Systems. IICAI 2005: 609-620

Cory J. Butz, Pawan Lingras: On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI 2005: 2464-2475

Pawan Lingras, Cory J. Butz: Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) 2005: 166-173

Cory J. Butz, Wen Yan, Boting Yang: The Computational Complexity of Inference Using Rough Set Flow Graphs. RSFDGrC (1) 2005: 335-344

Dan Wu, Cory J. Butz: On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. RSFDGrC (1) 2005: 581-590

Cory J. Butz, Hong Yao, Howard J. Hamilton: Towards Jointree Propagation with Conditional Probability Distributions. Rough Sets and Current Trends in Computing 2004: 368-377

Hong Yao, Howard J. Hamilton, Cory J. Butz: A Foundational Approach to Mining Itemset Utilities from Databases. SDM 2004

Daryl H. Hepting, Cory J. Butz: An Integrated Approach to Discovery in Complex Information Spaces. Workshop on Web-based Support Systems 2004: 67-74

Cory J. Butz, Shan Hua, R. Brien Maguire: A Web-Based Intelligent Tutoring System for Computer Programming. Web Intelligence 2004: 159-165

Yiyu Yao, Jingtao Yao, Cory J. Butz, Pawan Lingras, Dawn N. Jutla: Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre. Web Intelligence 2004: 787-788

Cory J. Butz, S. K. Michael Wong, Dan Wu: A New Inference Axiom for Probabilistic Conditional Independence. Canadian Conference on AI 2003: 568-574

S. K. Michael Wong, Dan Wu, Cory J. Butz: Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. Canadian Conference on AI 2003: 583-590

Cory J. Butz, H. Geng: Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks. ISMIS 2003: 544-553

Cory J. Butz, Qiang Hu, Xue Dong Yang: Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. RSFDGrC 2003: 682-685

Cory J. Butz, Hong Yao, Howard J. Hamilton: A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC 2003: 686-689

Cory J. Butz, J. Liu: A Query Processing Algorithm for Hierarchical Markov Networks. Web Intelligence 2003: 588-592

Cory J. Butz, Manon J. Sanscartier: On the Role of Contextual Weak Independence in Probabilistic Inference. Canadian Conference on AI 2002: 185-194

Hong Yao, Howard J. Hamilton, Cory J. Butz: FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM 2002: 729-732

Cory J. Butz: Critical Remarks on Bayesian Network Libraries. JCIS 2002: 402-406

Cory J. Butz, Manon J. Sanscartier: Acquisition Methods for Contextual Weak Independence. Rough Sets and Current Trends in Computing 2002: 339-343

Cory J. Butz, Manon J. Sanscartier: A Method for Detecting Context-Specific Independence in Conditional Probability Tables. Rough Sets and Current Trends in Computing 2002: 344-348

Cory J. Butz, Manon J. Sanscartier: Properties of Weak Conditional Independence. Rough Sets and Current Trends in Computing 2002: 349-356

S. K. Michael Wong, Dan Wu, Cory J. Butz: Triangulation of Bayesian Networks: A Relational Database Perspective. Rough Sets and Current Trends in Computing 2002: 389-396

S. K. Michael Wong, Cory J. Butz: Constructing the Dependency Structure of a Multiagent Probabilistic Network. IEEE Trans. Knowl. Data Eng. 13(3): 395-415 (2001)

Cory J. Butz: On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks. Web Intelligence 2001: 131-135

S. K. Michael Wong, Cory J. Butz, Dan Wu: On the implication problem for probabilistic conditional independency. IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(6): 785-805 (2000)

S. K. Michael Wong, Cory J. Butz: A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS 2000: 247-255

S. K. Michael Wong, Cory J. Butz: Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing 2000: 511-518

Cory J. Butz, S. K. Michael Wong: Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS 1999: 302-310

Yiyu Yao, S. K. Michael Wong, Cory J. Butz: On Information-Theoretic Measures of Attribute Importance. PAKDD 1999: 133-137

S. K. Michael Wong, Cory J. Butz: Contextual Weak Independence in Bayesian Networks. UAI 1999: 670-679

S. K. Michael Wong, Cory J. Butz, Yang Xiang: Automated Database Schema Design Using Mined Data Dependencies. JASIS 49(5): 455-470 (1998)

S. K. Michael Wong, Cory J. Butz: Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS 1998: 341-348

S. K. Michael Wong, Cory J. Butz: Equivalent Characterization of a Class of Conditional Probabilistic Independencies. Rough Sets and Current Trends in Computing 1998: 338-345

S. K. Michael Wong, Cory J. Butz, Yang Xiang: A Method for Implementing a Probabilistic Model as a Relational Database. UAI 1995: 556-564