Cory J. Butz

According to our database, Cory J. Butz authored at least 92 papers between 1995 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Sum-Product Network Decompilation.

Cory J. Butz, Jhonatan de S. Oliveira, Robert Peharz

CoRR, 2019

On the Tree Structure of Deep Convolutional Sum-Product Networks.

Cory J. Butz, André Lobo Teixeira, André E. dos Santos, Jhonatan de S. Oliveira

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Solving Influence Diagrams with Simple Propagation.

Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos

Proceedings of the Advances in Artificial Intelligence, 2019

Exploiting Symmetry of Independence in d-Separation.

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen

Proceedings of the Advances in Artificial Intelligence, 2019

Deep Convolutional Sum-Product Networks.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An empirical study of testing independencies in Bayesian networks using rp-separation.

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales

Int. J. Approx. Reason., 2018

An empirical study of Bayesian network inference with simple propagation.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen

Int. J. Approx. Reason., 2018

On a simple method for testing independencies in Bayesian networks.

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales

Comput. Intell., 2018

Simple Propagation with Arc-Reversal in Bayesian Networks.

Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

An Empirical Study of Methods for SPN Learning and Inference.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira, Pascal Poupart, Agastya Kalra

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models.

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, John Stavrinides

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017

On Darwinian Networks.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos

Comput. Intell., 2017

On learning the structure of sum-product networks.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

On Finding Relevant Variables in Discrete Bayesian Network Inference.

Cory James Butz, André Evaristo dos Santos, Jhonatan Souza Oliveira

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

On Converting Sum-Product Networks into Bayesian Networks.

André E. dos Santos, Cory J. Butz, Jhonatan de S. Oliveira

Proceedings of the Advances in Artificial Intelligence, 2017

Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks.

Jhonatan de S. Oliveira, Cory J. Butz, André E. dos Santos

Proceedings of the Advances in Artificial Intelligence, 2017

2016

Bayesian network inference using marginal trees.

Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen

Int. J. Approx. Reason., 2016

Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks.

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

On Bayesian Network Inference with Simple Propagation.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Testing Independencies in Bayesian Networks with i-Separation.

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Christophe Gonzales

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

On Tree Structures Used by Simple Propagation.

Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Uncertain reasoning at FLAIRS.

Christoph Beierle, Cory J. Butz, Souhila Kaci

J. Appl. Log., 2015

Determining Good Elimination Orderings with Darwinian Networks.

Cory James Butz, Jhonatan Souza Oliveira, André Evaristo dos Santos

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Introducing Darwinian Networks (Invited Presentation).

Cory James Butz

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation.

Anders L. Madsen, Cory J. Butz

Proceedings of the Advances in Artificial Intelligence, 2015

2013

Rough Support Vectors: Classification, Regression, Clustering.

Pawan Lingras, Parag Bhalchandra, Cory J. Butz, S. Asharaf

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Editorial: Uncertain reasoning FLAIRS 2011.

Laurent Perrussel, Cory J. Butz

Int. J. Approx. Reason., 2013

Ordering arc-reversal operations when eliminating variables in lazy AR propagation.

Anders L. Madsen, Cory J. Butz

Int. J. Approx. Reason., 2013

On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks.

Anders L. Madsen, Cory J. Butz

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

On Semantics of Inference in Bayesian Networks.

Cory J. Butz, Wen Yan, Anders L. Madsen

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

d-Separation: Strong Completeness of Semantics in Bayesian Network Inference.

Cory J. Butz, Wen Yan, Anders L. Madsen

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Special Track on Uncertain Reasoning.

Cory J. Butz

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011

Conservative and aggressive rough SVR modeling.

Pawan Lingras, Cory J. Butz

Theor. Comput. Sci., 2011

Join tree propagation utilizing both arc reversal and variable elimination.

Cory J. Butz, Ken Konkel, Pawan Lingras

Int. J. Approx. Reason., 2011

Evaluating Probabilistic Inference Techniques: A Question of "When, " not "Which".

Cory J. Butz

Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

Special Track on Uncertain Reasoning.

Laurent Perrussel, Cory J. Butz

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Using Four Cost Measures to Determine Arc Reversal Orderings.

Cory J. Butz, Anders L. Madsen, Kevin Williams

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

The CPT Structure of Variable Elimination in Discrete Bayesian Networks.

Cory J. Butz, Wen Yan, Pawan Lingras, Y. Y. Yao

Proceedings of the Advances in Intelligent Information Systems, 2010

Causal Discovery.

Hong Yao, Cory J. Butz, Howard J. Hamilton

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Join tree propagation with prioritized messages.

Cory J. Butz, Shan Hua, Ken Konkel, Hong Yao

Networks, 2010

Rough support vector regression.

Pawan Lingras, Cory J. Butz

Eur. J. Oper. Res., 2010

2009

A join tree probability propagation architecture for semantic modeling.

Cory J. Butz, Hong Yao, Shan Hua

J. Intell. Inf. Syst., 2009

A simple graphical approach for understanding probabilistic inference in Bayesian networks.

Cory J. Butz, Shan Hua, Junying Chen, Hong Yao

Inf. Sci., 2009

A formal comparison of variable elimination and arc reversal in Bayesian network inference.

Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras

Intell. Decis. Technol., 2009

A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference.

Cory J. Butz, Junying Chen, Ken Konkel, Pawan Lingras

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008

A Web-Based Interface for Hiding Bayesian Network Inference.

Cory J. Butz, Pawan Lingras, Ken Konkel

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007

Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification.

Pawan Lingras, Cory J. Butz

Inf. Sci., 2007

Current Trends in Bayesian Network Inference.

Cory J. Butz

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Precision and Recall in Rough Support Vector Machines.

Pawan Lingras, Cory J. Butz

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006

A web-based bayesian intelligent tutoring system for computer programming.

Cory J. Butz, Shan Hua, R. Brien Maguire

Web Intell. Agent Syst., 2006

An Efficient Algorithm for Inference in Rough Set Flow Graphs.

Cory J. Butz, Wen Yan, Boting Yang

Trans. Rough Sets, 2006

An Improved LAZY-AR Approach to Bayesian Network Inference.

Cory J. Butz, Shan Hua

Proceedings of the Advances in Artificial Intelligence, 2006

2005

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.

Dan Wu, Cory J. Butz

Proceedings of the Rough Sets, 2005

Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.

Pawan Lingras, Cory J. Butz

Proceedings of the Rough Sets, 2005

The Computational Complexity of Inference Using Rough Set Flow Graphs.

Cory J. Butz, Wen Yan, Boting Yang

Proceedings of the Rough Sets, 2005

On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency.

Cory J. Butz, Pawan Lingras

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Sophisticated Indexes for Implementing Probabilistic Expert Systems.

Cory J. Butz, F. Fang

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Modelling Multiagent Bayesian Networks with Inclusion Dependencies.

Cory J. Butz

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Interval set representations of 1-v-r support vector machine multi-classifiers.

Pawan Lingras, Cory J. Butz

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Incorporating Evidence in Bayesian Networks with the Select Operator.

Cory J. Butz, F. Fang

Proceedings of the Advances in Artificial Intelligence, 2005

Causal Discovery.

Hong Yao, Cory J. Butz, Howard J. Hamilton

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre.

Yiyu Yao, Jingtao Yao, Cory J. Butz, Pawan Lingras, Dawn N. Jutla

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

An Integrated Approach to Discovery in Complex Information Spaces.

Daryl H. Hepting, Cory J. Butz

Proceedings of the 2nd International Workshop on Web-based Support Systems, 2004

A Web-Based Intelligent Tutoring System for Computer Programming.

Cory J. Butz, Shan Hua, R. Brien Maguire

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

A Foundational Approach to Mining Itemset Utilities from Databases.

Hong Yao, Howard J. Hamilton, Cory J. Butz

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Towards Jointree Propagation with Conditional Probability Distributions.

Cory J. Butz, Hong Yao, Howard J. Hamilton

Proceedings of the Rough Sets and Current Trends in Computing, 2004

2003

A Query Processing Algorithm for Hierarchical Markov Networks.

Cory J. Butz, J. Liu

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

A Non-local Coarsening Result in Granular Probabilistic Networks.

Cory J. Butz, Hong Yao, Howard J. Hamilton

Proceedings of the Rough Sets, 2003

Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks.

Cory J. Butz, Qiang Hu, Xue Dong Yang

Proceedings of the Rough Sets, 2003

Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks.

Cory J. Butz, H. Geng

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.

S. K. Michael Wong, Dan Wu, Cory J. Butz

Proceedings of the Advances in Artificial Intelligence, 2003

A New Inference Axiom for Probabilistic Conditional Independence.

Cory J. Butz, S. K. Michael Wong, Dan Wu

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Triangulation of Bayesian Networks: A Relational Database Perspective.

S. K. Michael Wong, Dan Wu, Cory J. Butz

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Properties of Weak Conditional Independence.

Cory J. Butz, Manon J. Sanscartier

Proceedings of the Rough Sets and Current Trends in Computing, 2002

A Method for Detecting Context-Specific Independence in Conditional Probability Tables.

Cory J. Butz, Manon J. Sanscartier

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Acquisition Methods for Contextual Weak Independence.

Cory J. Butz, Manon J. Sanscartier

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Critical Remarks on Bayesian Network Libraries.

Cory J. Butz

Proceedings of the 6th Joint Conference on Information Science, 2002

FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences.

Hong Yao, Howard J. Hamilton, Cory J. Butz

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Exploiting contextual independencies in Web search and user profiling.

Cory J. Butz

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

On the Role of Contextual Weak Independence in Probabilistic Inference.

Cory J. Butz, Manon J. Sanscartier

Proceedings of the Advances in Artificial Intelligence, 2002

2001

Constructing the Dependency Structure of a Multiagent Probabilistic Network.

S. K. Michael Wong, Cory J. Butz

IEEE Trans. Knowl. Data Eng., 2001

On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks.

Cory J. Butz

Proceedings of the Web Intelligence: Research and Development, 2001

2000

On the implication problem for probabilistic conditional independency.

S. K. Michael Wong, Cory J. Butz, Dan Wu

IEEE Trans. Syst. Man Cybern. Part A, 2000

Rough Sets for Uncertainty Reasoning.

S. K. Michael Wong, Cory J. Butz

Proceedings of the Rough Sets and Current Trends in Computing, 2000

A Comparative Study of Noncontextual and Contextual Dependencies.

S. K. Michael Wong, Cory J. Butz

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

1999

Contextual Weak Independence in Bayesian Networks.

S. K. Michael Wong, Cory J. Butz

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

On Information-Theoretic Measures of Attribute Importance.

Yiyu Yao, S. K. Michael Wong, Cory J. Butz

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems.

Cory J. Butz, S. K. Michael Wong

Proceedings of the 1999 International Database Engineering and Applications Symposium, 1999

1998

Automated Database Schema Design Using Mined Data Dependencies.

S. K. Michael Wong, Cory J. Butz, Yang Xiang

J. Am. Soc. Inf. Sci., 1998

Equivalent Characterization of a Class of Conditional Probabilistic Independencies.

S. K. Michael Wong, Cory J. Butz

Proceedings of the Rough Sets and Current Trends in Computing, 1998

Probabilistic Reasoning in a Distributed Multi-Agent Environment.

S. K. Michael Wong, Cory J. Butz

Proceedings of the Third International Conference on Multiagent Systems, 1998

1995

A Method for Implementing a Probabilistic Model as a Relational Database.

S. K. Michael Wong, Cory J. Butz, Yang Xiang

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995