Cory J. Butz

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 26

Top Topics

Bayesian Networks

Uncertain Reasoning

Conditional Independencies

Top Venues

Canadian Conference on AI

Int. J. Approx. Reason.

Probabilistic Graphical Models

FLAIRS Conference

Publications

Jun Wang, Cory J. Butz
Optimizing Rough Set Flow Graph Inference. IJCRS (1) (2024)
Anders L. Madsen, Cory J. Butz
A Comparison of Different Marginalization Operations in Simple Propagation. ECSQARU (2023)
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)
Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz
Sum-Product Network Decompilation. PGM (2020)
Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz
Sum-Product Network Decompilation. CoRR (2019)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira
Deep Convolutional Sum-Product Networks. AAAI (2019)
Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
Solving Influence Diagrams with Simple Propagation. Canadian Conference on AI (2019)
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 Conference (2019)
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen
Exploiting Symmetry of Independence in d-Separation. Canadian Conference on AI (2019)
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)
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)
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 (2018)
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 (2018)
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) (2018)
Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
Simple Propagation with Arc-Reversal in Bayesian Networks. PGM (2018)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
On Darwinian Networks. Comput. Intell. 33 (4) (2017)
Jhonatan de S. Oliveira, Cory J. Butz, André E. dos Santos
Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. Canadian Conference on AI (2017)
André E. dos Santos, Cory J. Butz, Jhonatan de S. Oliveira
On Converting Sum-Product Networks into Bayesian Networks. Canadian Conference on AI (2017)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
On learning the structure of sum-product networks. SSCI (2017)
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
A Simple Method for Testing Independencies in Bayesian Networks. Canadian Conference on AI (2016)
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)
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)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
Bayesian Network Inference with Simple Propagation. FLAIRS Conference (2016)
Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
Bayesian network inference using marginal trees. Int. J. Approx. Reason. 68 (2016)
Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
On Tree Structures Used by Simple Propagation. Canadian Conference on AI (2016)
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
Testing Independencies in Bayesian Networks with i-Separation. FLAIRS Conference (2016)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
Darwinian Networks. Canadian Conference on AI (2015)
Christoph Beierle, Cory J. Butz, Souhila Kaci
Uncertain reasoning at FLAIRS. J. Appl. Log. 13 (4) (2015)
Anders L. Madsen, Cory J. Butz
Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Canadian Conference on AI (2015)
Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
Bayesian Network Inference Using Marginal Trees. Probabilistic Graphical Models (2014)
Laurent Perrussel, Cory J. Butz
Editorial: Uncertain reasoning FLAIRS 2011. Int. J. Approx. Reason. 54 (8) (2013)
S. K. Michael Wong, Cory J. Butz
Contextual Weak Independence in Bayesian Networks CoRR (2013)
Cory J. Butz, Wen Yan, Anders L. Madsen
d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. Canadian Conference on AI (2013)
Cory J. Butz, Wen Yan, Anders L. Madsen
On Semantics of Inference in Bayesian Networks. ECSQARU (2013)
S. K. Michael Wong, Cory J. Butz, Yang Xiang
A Method for Implementing a Probabilistic Model as a Relational Database CoRR (2013)
Anders L. Madsen, Cory J. Butz
On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. ECSQARU (2013)
Anders L. Madsen, Cory J. Butz
Ordering arc-reversal operations when eliminating variables in lazy AR propagation. Int. J. Approx. Reason. 54 (8) (2013)
Cory J. Butz
Special Track on Uncertain Reasoning. FLAIRS Conference (2012)
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)
Cory J. Butz, Anders L. Madsen, Kevin Williams
Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU (2011)
Cory J. Butz, Ken Konkel, Pawan Lingras
Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reason. 52 (7) (2011)
Pawan Lingras, Cory J. Butz
Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. 412 (42) (2011)
Cory J. Butz, Shan Hua, Ken Konkel, Hong Yao
Join tree propagation with prioritized messages. Networks 55 (4) (2010)
Pawan Lingras, Cory J. Butz
Rough support vector regression. Eur. J. Oper. Res. 206 (2) (2010)
Cory J. Butz, Ken Konkel, Pawan Lingras
Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS Conference (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) (2009)
Cory J. Butz, Hong Yao, Shan Hua
A join tree probability propagation architecture for semantic modeling. J. Intell. Inf. Syst. 33 (2) (2009)
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) (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, Pawan Lingras, Ken Konkel
A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS (2008)
Cory J. Butz
Current Trends in Bayesian Network Inference. IICAI (2007)
Pawan Lingras, Cory J. Butz
Precision and Recall in Rough Support Vector Machines. GrC (2007)
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) (2007)
Cory J. Butz, Shan Hua, R. Brien Maguire
A web-based bayesian intelligent tutoring system for computer programming. Web Intell. Agent Syst. 4 (1) (2006)
Cory J. Butz, Shan Hua
An Improved LAZY-AR Approach to Bayesian Network Inference. Canadian Conference on AI (2006)
Cory J. Butz, Wen Yan, Boting Yang
An Efficient Algorithm for Inference in Rough Set Flow Graphs. Trans. Rough Sets 5 (2006)
Cory J. Butz, F. Fang
Incorporating Evidence in Bayesian Networks with the Select Operator. Canadian Conference on AI (2005)
Cory J. Butz, Wen Yan, Boting Yang
The Computational Complexity of Inference Using Rough Set Flow Graphs. RSFDGrC (1) (2005)
Pawan Lingras, Cory J. Butz
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) (2005)
Cory J. Butz
Modelling Multiagent Bayesian Networks with Inclusion Dependencies. IAT (2005)
Pawan Lingras, Cory J. Butz
Interval set representations of 1-v-r support vector machine multi-classifiers. GrC (2005)
Cory J. Butz, Pawan Lingras
On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI (2005)
Dan Wu, Cory J. Butz
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. RSFDGrC (1) (2005)
Cory J. Butz, F. Fang
Sophisticated Indexes for Implementing Probabilistic Expert Systems. IICAI (2005)
Daryl H. Hepting, Cory J. Butz
An Integrated Approach to Discovery in Complex Information Spaces. Workshop on Web-based Support Systems (2004)
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)
Cory J. Butz, Hong Yao, Howard J. Hamilton
Towards Jointree Propagation with Conditional Probability Distributions. Rough Sets and Current Trends in Computing (2004)
Cory J. Butz, Shan Hua, R. Brien Maguire
A Web-Based Intelligent Tutoring System for Computer Programming. Web Intelligence (2004)
Hong Yao, Howard J. Hamilton, Cory J. Butz
A Foundational Approach to Mining Itemset Utilities from Databases. SDM (2004)
Cory J. Butz, H. Geng
Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks. ISMIS (2003)
Cory J. Butz, Hong Yao, Howard J. Hamilton
A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC (2003)
S. K. Michael Wong, Dan Wu, Cory J. Butz
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. Canadian Conference on AI (2003)
Cory J. Butz, S. K. Michael Wong, Dan Wu
A New Inference Axiom for Probabilistic Conditional Independence. Canadian Conference on AI (2003)
Cory J. Butz, Jidong Liu
A Query Processing Algorithm for Hierarchical Markov Networks. Web Intelligence (2003)
Cory J. Butz, Qiang Hu, Xue Dong Yang
Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. RSFDGrC (2003)
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)
Cory J. Butz, Manon J. Sanscartier
Acquisition Methods for Contextual Weak Independence. Rough Sets and Current Trends in Computing (2002)
Cory J. Butz, Manon J. Sanscartier
On the Role of Contextual Weak Independence in Probabilistic Inference. Canadian Conference on AI (2002)
Hong Yao, Howard J. Hamilton, Cory J. Butz
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM (2002)
Cory J. Butz
Critical Remarks on Bayesian Network Libraries. JCIS (2002)
Cory J. Butz, Manon J. Sanscartier
Properties of Weak Conditional Independence. Rough Sets and Current Trends in Computing (2002)
Cory J. Butz
Exploiting contextual independencies in Web search and user profiling. FUZZ-IEEE (2002)
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)
Cory J. Butz
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks. Web Intelligence (2001)
S. K. Michael Wong, Cory J. Butz
Constructing the Dependency Structure of a Multiagent Probabilistic Network. IEEE Trans. Knowl. Data Eng. 13 (3) (2001)
S. K. Michael Wong, Cory J. Butz
Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing (2000)
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) (2000)
S. K. Michael Wong, Cory J. Butz
A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS (2000)
Yiyu Yao, S. K. Michael Wong, Cory J. Butz
On Information-Theoretic Measures of Attribute Importance. PAKDD (1999)
S. K. Michael Wong, Cory J. Butz
Contextual Weak Independence in Bayesian Networks. UAI (1999)
Cory J. Butz, S. K. Michael Wong
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS (1999)
S. K. Michael Wong, Cory J. Butz
Equivalent Characterization of a Class of Conditional Probabilistic Independencies. Rough Sets and Current Trends in Computing (1998)
S. K. Michael Wong, Cory J. Butz
Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS (1998)
S. K. Michael Wong, Cory J. Butz, Yang Xiang
Automated Database Schema Design Using Mined Data Dependencies. J. Am. Soc. Inf. Sci. 49 (5) (1998)
S. K. Michael Wong, Cory J. Butz, Yang Xiang
A Method for Implementing a Probabilistic Model as a Relational Database. UAI (1995)