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ORCIDCory J. Butz
Cory James Butz
Person information
- affiliation: University of Regina, Department of Computer Science, SK, Canada
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Journal Articles
- 2018
[j21]Cory J. Butz
, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
On a simple method for testing independencies in Bayesian networks. Comput. Intell. 34(3): 789-801 (2018)- [j20]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
An empirical study of Bayesian network inference with simple propagation. Int. J. Approx. Reason. 92: 198-211 (2018) - [j19]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
An empirical study of testing independencies in Bayesian networks using rp-separation. Int. J. Approx. Reason. 92: 270-278 (2018) - 2017
- [j18]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
On Darwinian Networks. Comput. Intell. 33(4): 629-655 (2017) - 2016
- [j17]Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen:
Bayesian network inference using marginal trees. Int. J. Approx. Reason. 68: 127-152 (2016) - 2015
- [j16]Christoph Beierle, Cory J. Butz, Souhila Kaci:
Uncertain reasoning at FLAIRS. J. Appl. Log. 13(4): 555-556 (2015) - 2013
- [j15]Laurent Perrussel, Cory J. Butz:
Editorial: Uncertain reasoning FLAIRS 2011. Int. J. Approx. Reason. 54(8): 955 (2013) - [j14]Anders L. Madsen, Cory J. Butz:
Ordering arc-reversal operations when eliminating variables in lazy AR propagation. Int. J. Approx. Reason. 54(8): 1182-1196 (2013) - 2011
- [j13]Cory J. Butz, Ken Konkel, Pawan Lingras:
Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reason. 52(7): 948-959 (2011) - [j12]Pawan Lingras, Cory J. Butz:
Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. 412(42): 5885-5901 (2011) - 2010
- [j11]Pawan Lingras, Cory J. Butz:
Rough support vector regression. Eur. J. Oper. Res. 206(2): 445-455 (2010) - [j10]Cory J. Butz, Shan Hua, Ken Konkel, Hong Yao:
Join tree propagation with prioritized messages. Networks 55(4): 350-359 (2010) - 2009
- [j9]Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras:
A formal comparison of variable elimination and arc reversal in Bayesian network inference. Intell. Decis. Technol. 3(3): 173-180 (2009) - [j8]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) - [j7]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) - 2007
- [j6]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) - 2006
- [j5]Cory J. Butz, Wen Yan, Boting Yang:
An Efficient Algorithm for Inference in Rough Set Flow Graphs. Trans. Rough Sets 5: 102-122 (2006) - [j4]Cory J. Butz, Shan Hua, R. Brien Maguire:
A web-based bayesian intelligent tutoring system for computer programming. Web Intell. Agent Syst. 4(1): 77-97 (2006) - 2001
- [j3]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) - 2000
- [j2]S. K. Michael Wong, Cory J. Butz, Dan Wu:
On the implication problem for probabilistic conditional independency. IEEE Trans. Syst. Man Cybern. Part A 30(6): 785-805 (2000) - 1998
- [j1]S. K. Michael Wong, Cory J. Butz, Yang Xiang:
Automated Database Schema Design Using Mined Data Dependencies. J. Am. Soc. Inf. Sci. 49(5): 455-470 (1998)
Conference and Workshop Papers
- 2023
- [c74]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anna Norris, Kadence Meredith:
Upward Pass Semantics in Arithmetic Circuit Inference. Canadian AI 2023 - [c73]Anders L. Madsen, Cory J. Butz:
A Comparison of Different Marginalization Operations in Simple Propagation. ECSQARU 2023: 172-182 - 2020
- [c72]Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz:
Sum-Product Network Decompilation. PGM 2020: 53-64 - 2019
- [c71]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira:
Deep Convolutional Sum-Product Networks. AAAI 2019: 3248-3255 - [c70]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen:
Exploiting Symmetry of Independence in d-Separation. Canadian AI 2019: 42-54 - [c69]Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
Solving Influence Diagrams with Simple Propagation. Canadian AI 2019: 68-79 - [c68]Cory J. Butz, André Lobo Teixeira, André E. dos Santos, Jhonatan de S. Oliveira:
On the Tree Structure of Deep Convolutional Sum-Product Networks. FLAIRS 2019: 500-503 - 2018
- [c67]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, John Stavrinides:
Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models. IEA/AIE 2018: 315-326 - [c66]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira, Pascal Poupart, Agastya Kalra:
An Empirical Study of Methods for SPN Learning and Inference. PGM 2018: 49-60 - [c65]Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
Simple Propagation with Arc-Reversal in Bayesian Networks. PGM 2018: 260-271 - 2017
- [c64]Jhonatan de S. Oliveira, Cory J. Butz, André E. dos Santos:
Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. Canadian AI 2017: 305-315 - [c63]André E. dos Santos, Cory J. Butz, Jhonatan de S. Oliveira:
On Converting Sum-Product Networks into Bayesian Networks. Canadian AI 2017: 329-334 - [c62]Cory James Butz, André Evaristo dos Santos, Jhonatan Souza Oliveira:
On Finding Relevant Variables in Discrete Bayesian Network Inference. FLAIRS 2017: 730-735 - [c61]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
On learning the structure of sum-product networks. SSCI 2017: 1-8 - 2016
- [c60]Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
On Tree Structures Used by Simple Propagation. Canadian AI 2016: 207-212 - [c59]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
A Simple Method for Testing Independencies in Bayesian Networks. Canadian AI 2016: 213-223 - [c58]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales:
Testing Independencies in Bayesian Networks with i-Separation. FLAIRS 2016: 644-649 - [c57]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
Bayesian Network Inference with Simple Propagation. FLAIRS 2016: 650-655 - [c56]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
On Bayesian Network Inference with Simple Propagation. Probabilistic Graphical Models 2016: 62-73 - [c55]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira:
Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks. Probabilistic Graphical Models 2016: 74-85 - 2015
- [c54]Anders L. Madsen, Cory J. Butz:
Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Canadian AI 2015: 3-15 - [c53]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
Darwinian Networks. Canadian AI 2015: 16-29 - [c52]Cory James Butz, Jhonatan Souza Oliveira, André Evaristo dos Santos:
Determining Good Elimination Orderings with Darwinian Networks. FLAIRS 2015: 600-603 - [c51]Cory James Butz:
Introducing Darwinian Networks (Invited Presentation). FLAIRS 2015: 604-610 - 2014
- [c50]Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen:
Bayesian Network Inference Using Marginal Trees. Probabilistic Graphical Models 2014: 81-96 - 2013
- [c49]Cory J. Butz, Wen Yan, Anders L. Madsen:
d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. Canadian AI 2013: 13-24 - [c48]Cory J. Butz, Wen Yan, Anders L. Madsen:
On Semantics of Inference in Bayesian Networks. ECSQARU 2013: 73-84 - [c47]Anders L. Madsen, Cory J. Butz:
On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. ECSQARU 2013: 400-411 - 2012
- [c46]Cory J. Butz:
Special Track on Uncertain Reasoning. FLAIRS 2012 - 2011
- [c45]Cory J. Butz, Anders L. Madsen, Kevin Williams:
Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU 2011: 110-121 - [c44]Laurent Perrussel, Cory J. Butz:
Special Track on Uncertain Reasoning. FLAIRS 2011 - [c43]Cory J. Butz:
Evaluating Probabilistic Inference Techniques: A Question of "When, " not "Which". SUM 2011: 38-51 - 2009
- [c42]Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras:
A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. FLAIRS 2009 - [c41]Cory J. Butz, Ken Konkel, Pawan Lingras:
Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS 2009 - 2008
- [c40]Cory J. Butz, Pawan Lingras, Ken Konkel:
A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS 2008: 612-617 - 2007
- [c39]Pawan Lingras, Cory J. Butz:
Precision and Recall in Rough Support Vector Machines. GrC 2007: 654-658 - [c38]Cory J. Butz:
Current Trends in Bayesian Network Inference. IICAI 2007: 1186-1205 - 2006
- [c37]Cory J. Butz, Shan Hua:
An Improved LAZY-AR Approach to Bayesian Network Inference. Canadian AI 2006: 183-194 - 2005
- [c36]Cory J. Butz, F. Fang:
Incorporating Evidence in Bayesian Networks with the Select Operator. Canadian AI 2005: 297-301 - [c35]Pawan Lingras, Cory J. Butz:
Interval set representations of 1-v-r support vector machine multi-classifiers. GrC 2005: 193-198 - [c34]Cory J. Butz:
Modelling Multiagent Bayesian Networks with Inclusion Dependencies. IAT 2005: 455-458 - [c33]Cory J. Butz, F. Fang:
Sophisticated Indexes for Implementing Probabilistic Expert Systems. IICAI 2005: 609-620 - [c32]Cory J. Butz, Pawan Lingras:
On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI 2005: 2464-2475 - [c31]Pawan Lingras, Cory J. Butz:
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) 2005: 166-173 - [c30]Cory J. Butz, Wen Yan, Boting Yang:
The Computational Complexity of Inference Using Rough Set Flow Graphs. RSFDGrC (1) 2005: 335-344 - [c29]Dan Wu, Cory J. Butz:
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. RSFDGrC (1) 2005: 581-590 - 2004
- [c28]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 - [c27]Hong Yao, Howard J. Hamilton, Cory J. Butz:
A Foundational Approach to Mining Itemset Utilities from Databases. SDM 2004: 482-486 - [c26]Daryl H. Hepting, Cory J. Butz:
An Integrated Approach to Discovery in Complex Information Spaces. Workshop on Web-based Support Systems 2004: 67-74 - [c25]Cory J. Butz, Shan Hua, R. Brien Maguire:
A Web-Based Intelligent Tutoring System for Computer Programming. Web Intelligence 2004: 159-165 - [c24]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 - 2003
- [c23]Cory J. Butz, S. K. Michael Wong, Dan Wu:
A New Inference Axiom for Probabilistic Conditional Independence. AI 2003: 568-574 - [c22]S. K. Michael Wong, Dan Wu, Cory J. Butz:
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. AI 2003: 583-590 - [c21]Cory J. Butz, H. Geng:
Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks. ISMIS 2003: 544-553 - [c20]Cory J. Butz, Qiang Hu, Xue Dong Yang:
Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. RSFDGrC 2003: 682-685 - [c19]Cory J. Butz, Hong Yao, Howard J. Hamilton:
A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC 2003: 686-689 - [c18]Cory J. Butz, Jidong Liu:
A Query Processing Algorithm for Hierarchical Markov Networks. Web Intelligence 2003: 588-592 - 2002
- [c17]Cory J. Butz, Manon J. Sanscartier:
On the Role of Contextual Weak Independence in Probabilistic Inference. AI 2002: 185-194 - [c16]Cory J. Butz:
Exploiting contextual independencies in Web search and user profiling. FUZZ-IEEE 2002: 1051-1056 - [c15]Hong Yao, Howard J. Hamilton, Cory J. Butz:
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM 2002: 729-732 - [c14]Cory J. Butz:
Critical Remarks on Bayesian Network Libraries. JCIS 2002: 402-406 - [c13]Cory J. Butz, Manon J. Sanscartier:
Acquisition Methods for Contextual Weak Independence. Rough Sets and Current Trends in Computing 2002: 339-343 - [c12]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 - [c11]Cory J. Butz, Manon J. Sanscartier:
Properties of Weak Conditional Independence. Rough Sets and Current Trends in Computing 2002: 349-356 - [c10]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 - 2001
- [c9]Cory J. Butz:
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks. Web Intelligence 2001: 131-135 - 2000
- [c8]S. K. Michael Wong, Cory J. Butz:
A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS 2000: 247-255 - [c7]S. K. Michael Wong, Cory J. Butz:
Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing 2000: 511-518 - 1999
- [c6]Cory J. Butz, S. K. Michael Wong:
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS 1999: 302-310 - [c5]Yiyu Yao, S. K. Michael Wong, Cory J. Butz:
On Information-Theoretic Measures of Attribute Importance. PAKDD 1999: 133-137 - [c4]S. K. Michael Wong, Cory J. Butz:
Contextual Weak Independence in Bayesian Networks. UAI 1999: 670-679 - 1998
- [c3]S. K. Michael Wong, Cory J. Butz:
Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS 1998: 341-348 - [c2]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 - 1995
- [c1]S. K. Michael Wong, Cory J. Butz, Yang Xiang:
A Method for Implementing a Probabilistic Model as a Relational Database. UAI 1995: 556-564
Parts in Books or Collections
- 2013
- [p4]Pawan Lingras, Parag Bhalchandra, Cory J. Butz, S. Asharaf:
Rough Support Vectors: Classification, Regression, Clustering. Rough Sets and Intelligent Systems (1) 2013: 491-515 - 2010
- [p3]Hong Yao, Cory J. Butz, Howard J. Hamilton:
Causal Discovery. Data Mining and Knowledge Discovery Handbook 2010: 949-958 - [p2]Cory J. Butz, Wen Yan, Pawan Lingras, Y. Y. Yao:
The CPT Structure of Variable Elimination in Discrete Bayesian Networks. Advances in Intelligent Information Systems 2010: 245-257 - 2005
- [p1]Hong Yao, Cory J. Butz, Howard J. Hamilton:
Causal Discovery. The Data Mining and Knowledge Discovery Handbook 2005: 945-955
Editorship
- 2011
- [e2]Cory J. Butz, Pawan Lingras:
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 [contents] - 2007
- [e1]Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang:
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 [contents]
Informal and Other Publications
- 2019
- [i3]Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz:
Sum-Product Network Decompilation. CoRR abs/1912.10092 (2019) - 2013
- [i2]S. K. Michael Wong, Cory J. Butz:
Contextual Weak Independence in Bayesian Networks. CoRR abs/1301.6748 (2013) - [i1]S. K. Michael Wong, Cory J. Butz, Yang Xiang:
A Method for Implementing a Probabilistic Model as a Relational Database. CoRR abs/1302.4990 (2013)
Coauthor Index
Jhonatan de S. Oliveira
aka: Jhonatan Souza Oliveira
aka: Jhonatan Souza Oliveira
André E. dos Santos
aka: André Evaristo dos Santos
aka: André Evaristo dos Santos
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