Cory J. Butz - RankMe

107 papers A* 3A 3B 2C 10Misc 12Journal 25Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference. AAAI Cory J. Butz, Alejandro Santoscoy-Rivero, Camilla E. Lewis
2025	C	`conf`	Arithmetic Circuit Compilation Using Symbolic Probabilistic Inference and Indicator-Determined Buckets. ECSQARU Cory J. Butz, Camilla E. Lewis, Alejandro Santoscoy-Rivero, Anders L. Madsen
2025	J	`jnl`	On Fast arc-reversal. Int. J. Approx. Reason. Cory J. Butz, Anders L. Madsen, Jhonatan de S. Oliveira
2025	—	`conf`	Towards Inference in Arithmetic Circuits by Exploiting Barren Variables. Canadian AI Cory J. Butz, Jhonatan de S. Oliveira, Kadence Meredith
2024	—	`conf`	Fast Arc-Reversal. PGM Cory J. Butz, Anders L. Madsen, Jhonatan de S. Oliveira
2024	—	`conf`	Optimizing Rough Set Flow Graph Inference. IJCRS (1) Jun Wang, Cory J. Butz
2023	C	`conf`	A Comparison of Different Marginalization Operations in Simple Propagation. ECSQARU Anders L. Madsen, Cory J. Butz
2023	—	`conf`	Upward Pass Semantics in Arithmetic Circuit Inference. Canadian AI Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anna Norris, Kadence Meredith
2020	—	`conf`	Sum-Product Network Decompilation. PGM Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz
2019	A*	`conf`	Deep Convolutional Sum-Product Networks. AAAI Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira
2019	—	`conf`	Exploiting Symmetry of Independence in d-Separation. Canadian AI Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen
2019	Misc	`conf`	On the Tree Structure of Deep Convolutional Sum-Product Networks. FLAIRS Cory J. Butz, André Lobo Teixeira, André E. dos Santos, Jhonatan de S. Oliveira
2019	—	`conf`	Solving Influence Diagrams with Simple Propagation. Canadian AI Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2019	J	`jnl`	Sum-Product Network Decompilation. CoRR Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz
2018	—	`conf`	An Empirical Study of Methods for SPN Learning and Inference. PGM Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira, Pascal Poupart, Agastya Kalra
2018	J	`jnl`	An empirical study of Bayesian network inference with simple propagation. Int. J. Approx. Reason. Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
2018	J	`jnl`	An empirical study of testing independencies in Bayesian networks using rp-separation. Int. J. Approx. Reason. Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2018	C	`conf`	Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models. IEA/AIE Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, John Stavrinides
2018	J	`jnl`	On a simple method for testing independencies in Bayesian networks. Comput. Intell. Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2018	—	`conf`	Simple Propagation with Arc-Reversal in Bayesian Networks. PGM Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2017	—	`conf`	On Converting Sum-Product Networks into Bayesian Networks. Canadian AI André E. dos Santos, Cory J. Butz, Jhonatan de S. Oliveira
2017	J	`jnl`	On Darwinian Networks. Comput. Intell. Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2017	—	`conf`	On learning the structure of sum-product networks. SSCI Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2017	—	`conf`	Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. Canadian AI Jhonatan de S. Oliveira, Cory J. Butz, André E. dos Santos
2016	—	`conf`	A Simple Method for Testing Independencies in Bayesian Networks. Canadian AI Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2016	Misc	`conf`	Bayesian Network Inference with Simple Propagation. FLAIRS Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
2016	J	`jnl`	Bayesian network inference using marginal trees. Int. J. Approx. Reason. Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
2016	—	`conf`	On Bayesian Network Inference with Simple Propagation. Probabilistic Graphical Models Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
2016	—	`conf`	On Tree Structures Used by Simple Propagation. Canadian AI Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2016	—	`conf`	Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks. Probabilistic Graphical Models Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira
2016	Misc	`conf`	Testing Independencies in Bayesian Networks with i-Separation. FLAIRS Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales
2015	—	`conf`	Darwinian Networks. Canadian AI Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2015	—	`conf`	Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Canadian AI Anders L. Madsen, Cory J. Butz
2015	J	`jnl`	Uncertain reasoning at FLAIRS. J. Appl. Log. Christoph Beierle, Cory J. Butz, Souhila Kaci
2014	—	`conf`	Bayesian Network Inference Using Marginal Trees. Probabilistic Graphical Models Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
2013	J	`jnl`	A Method for Implementing a Probabilistic Model as a Relational Database CoRR S. K. Michael Wong, Cory J. Butz, Yang Xiang
2013	J	`jnl`	Contextual Weak Independence in Bayesian Networks CoRR S. K. Michael Wong, Cory J. Butz
2013	J	`jnl`	Editorial: Uncertain reasoning FLAIRS 2011. Int. J. Approx. Reason. Laurent Perrussel, Cory J. Butz
2013	C	`conf`	On Semantics of Inference in Bayesian Networks. ECSQARU Cory J. Butz, Wen Yan, Anders L. Madsen
2013	C	`conf`	On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. ECSQARU Anders L. Madsen, Cory J. Butz
2013	J	`jnl`	Ordering arc-reversal operations when eliminating variables in lazy AR propagation. Int. J. Approx. Reason. Anders L. Madsen, Cory J. Butz
2013	—	`ch.`	Rough Support Vectors: Classification, Regression, Clustering. Rough Sets and Intelligent Systems (1) Pawan Lingras, Parag Bhalchandra, Cory J. Butz, S. Asharaf
2013	—	`conf`	d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. Canadian AI Cory J. Butz, Wen Yan, Anders L. Madsen
2012	Misc	`conf`	Special Track on Uncertain Reasoning. FLAIRS Cory J. Butz
2011	—	`ed.`	Advances in Artificial Intelligence - 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John's, Canada, May 25-27, 2011. Proceedings Canadian AI Cory J. Butz, Pawan Lingras
2011	J	`jnl`	Conservative and aggressive rough SVR modeling. Theor. Comput. Sci. Pawan Lingras, Cory J. Butz
2011	—	`conf`	Evaluating Probabilistic Inference Techniques: A Question of "When, " not "Which". SUM Cory J. Butz
2011	J	`jnl`	Join tree propagation utilizing both arc reversal and variable elimination. Int. J. Approx. Reason. Cory J. Butz, Ken Konkel, Pawan Lingras
2011	Misc	`conf`	Special Track on Uncertain Reasoning. FLAIRS Laurent Perrussel, Cory J. Butz
2011	C	`conf`	Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU Cory J. Butz, Anders L. Madsen, Kevin Williams
2010	—	`ch.`	Causal Discovery. Data Mining and Knowledge Discovery Handbook Hong Yao, Cory J. Butz, Howard J. Hamilton
2010	J	`jnl`	Join tree propagation with prioritized messages. Networks Cory J. Butz, Shan Hua, Ken Konkel, Hong Yao
2010	J	`jnl`	Rough support vector regression. Eur. J. Oper. Res. Pawan Lingras, Cory J. Butz
2010	—	`ch.`	The CPT Structure of Variable Elimination in Discrete Bayesian Networks. Advances in Intelligent Information Systems Cory J. Butz, Wen Yan, Pawan Lingras, Y. Y. Yao
2009	Misc	`conf`	A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference. FLAIRS Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras
2009	J	`jnl`	A formal comparison of variable elimination and arc reversal in Bayesian network inference. Intell. Decis. Technol. Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras
2009	J	`jnl`	A join tree probability propagation architecture for semantic modeling. J. Intell. Inf. Syst. Cory J. Butz, Hong Yao, Shan Hua
2009	J	`jnl`	A simple graphical approach for understanding probabilistic inference in Bayesian networks. Inf. Sci. Cory J. Butz, Shan Hua, Junying Chen, Hong Yao
2009	Misc	`conf`	Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination. FLAIRS Cory J. Butz, Ken Konkel, Pawan Lingras
2008	C	`conf`	A Web-Based Interface for Hiding Bayesian Network Inference. ISMIS Cory J. Butz, Pawan Lingras, Ken Konkel
2007	—	`conf`	Current Trends in Bayesian Network Inference. IICAI Cory J. Butz
2007	Misc	`conf`	Precision and Recall in Rough Support Vector Machines. GrC Pawan Lingras, Cory J. Butz
2007	—	`ed.`	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings RSFDGrC Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang
2007	J	`jnl`	Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification. Inf. Sci. Pawan Lingras, Cory J. Butz
2006	J	`jnl`	A web-based bayesian intelligent tutoring system for computer programming. Web Intell. Agent Syst. Cory J. Butz, Shan Hua, R. Brien Maguire
2006	J	`jnl`	An Efficient Algorithm for Inference in Rough Set Flow Graphs. Trans. Rough Sets Cory J. Butz, Wen Yan, Boting Yang
2006	—	`conf`	An Improved LAZY-AR Approach to Bayesian Network Inference. Canadian AI Cory J. Butz, Shan Hua
2005	—	`ch.`	Causal Discovery. The Data Mining and Knowledge Discovery Handbook Hong Yao, Cory J. Butz, Howard J. Hamilton
2005	—	`conf`	Incorporating Evidence in Bayesian Networks with the Select Operator. Canadian AI Cory J. Butz, F. Fang
2005	Misc	`conf`	Interval set representations of 1-v-r support vector machine multi-classifiers. GrC Pawan Lingras, Cory J. Butz
2005	—	`conf`	Modelling Multiagent Bayesian Networks with Inclusion Dependencies. IAT Cory J. Butz
2005	—	`conf`	On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. RSFDGrC (1) Dan Wu, Cory J. Butz
2005	—	`conf`	On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency. IICAI Cory J. Butz, Pawan Lingras
2005	—	`conf`	Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers. RSFDGrC (2) Pawan Lingras, Cory J. Butz
2005	—	`conf`	Sophisticated Indexes for Implementing Probabilistic Expert Systems. IICAI Cory J. Butz, F. Fang
2005	—	`conf`	The Computational Complexity of Inference Using Rough Set Flow Graphs. RSFDGrC (1) Cory J. Butz, Wen Yan, Boting Yang
2004	A	`conf`	A Foundational Approach to Mining Itemset Utilities from Databases. SDM Hong Yao, Howard J. Hamilton, Cory J. Butz
2004	—	`conf`	A Web-Based Intelligent Tutoring System for Computer Programming. Web Intelligence Cory J. Butz, Shan Hua, R. Brien Maguire
2004	—	`conf`	An Integrated Approach to Discovery in Complex Information Spaces. Workshop on Web-based Support Systems Daryl H. Hepting, Cory J. Butz
2004	—	`conf`	Towards Jointree Propagation with Conditional Probability Distributions. Rough Sets and Current Trends in Computing Cory J. Butz, Hong Yao, Howard J. Hamilton
2004	—	`conf`	Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre. Web Intelligence Yiyu Yao, JingTao Yao, Cory J. Butz, Pawan Lingras, Dawn N. Jutla
2003	Misc	`conf`	A New Inference Axiom for Probabilistic Conditional Independence. AI Cory J. Butz, S. K. Michael Wong, Dan Wu
2003	—	`conf`	A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC Cory J. Butz, Hong Yao, Howard J. Hamilton
2003	—	`conf`	A Query Processing Algorithm for Hierarchical Markov Networks. Web Intelligence Cory J. Butz, Jidong Liu
2003	C	`conf`	Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks. ISMIS Cory J. Butz, H. Geng
2003	—	`conf`	Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. RSFDGrC Cory J. Butz, Qiang Hu, Xue Dong Yang
2003	Misc	`conf`	Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. AI S. K. Michael Wong, Dan Wu, Cory J. Butz
2002	—	`conf`	A Method for Detecting Context-Specific Independence in Conditional Probability Tables. Rough Sets and Current Trends in Computing Cory J. Butz, Manon J. Sanscartier
2002	—	`conf`	Acquisition Methods for Contextual Weak Independence. Rough Sets and Current Trends in Computing Cory J. Butz, Manon J. Sanscartier
2002	—	`conf`	Critical Remarks on Bayesian Network Libraries. JCIS Cory J. Butz
2002	B	`conf`	Exploiting contextual independencies in Web search and user profiling. FUZZ-IEEE Cory J. Butz
2002	A*	`conf`	FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM Hong Yao, Howard J. Hamilton, Cory J. Butz
2002	Misc	`conf`	On the Role of Contextual Weak Independence in Probabilistic Inference. AI Cory J. Butz, Manon J. Sanscartier
2002	—	`conf`	Properties of Weak Conditional Independence. Rough Sets and Current Trends in Computing Cory J. Butz, Manon J. Sanscartier
2002	—	`conf`	Triangulation of Bayesian Networks: A Relational Database Perspective. Rough Sets and Current Trends in Computing S. K. Michael Wong, Dan Wu, Cory J. Butz
2001	J	`jnl`	Constructing the Dependency Structure of a Multiagent Probabilistic Network. IEEE Trans. Knowl. Data Eng. S. K. Michael Wong, Cory J. Butz
2001	—	`conf`	On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks. Web Intelligence Cory J. Butz
2000	C	`conf`	A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS S. K. Michael Wong, Cory J. Butz
2000	J	`jnl`	On the implication problem for probabilistic conditional independency. IEEE Trans. Syst. Man Cybern. Part A S. K. Michael Wong, Cory J. Butz, Dan Wu
2000	—	`conf`	Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing S. K. Michael Wong, Cory J. Butz
1999	A	`conf`	Contextual Weak Independence in Bayesian Networks. UAI S. K. Michael Wong, Cory J. Butz
1999	B	`conf`	On Information-Theoretic Measures of Attribute Importance. PAKDD Yiyu Yao, S. K. Michael Wong, Cory J. Butz
1999	C	`conf`	Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS Cory J. Butz, S. K. Michael Wong
1998	J	`jnl`	Automated Database Schema Design Using Mined Data Dependencies. J. Am. Soc. Inf. Sci. S. K. Michael Wong, Cory J. Butz, Yang Xiang
1998	—	`conf`	Equivalent Characterization of a Class of Conditional Probabilistic Independencies. Rough Sets and Current Trends in Computing S. K. Michael Wong, Cory J. Butz
1998	—	`conf`	Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS S. K. Michael Wong, Cory J. Butz
1995	A	`conf`	A Method for Implementing a Probabilistic Model as a Relational Database. UAI S. K. Michael Wong, Cory J. Butz, Yang Xiang