# Cory J. Butz

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^{1}, Cory J. Butz## Timeline

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## Bibliography

2018

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

Int. J. Approx. Reasoning, 2018

An empirical study of Bayesian network inference with simple propagation.

Int. J. Approx. Reasoning, 2018

Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models.

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

2017

On Darwinian Networks.

Computational Intelligence, 2017

On learning the structure of sum-product networks.

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

On Finding Relevant Variables in Discrete Bayesian Network Inference.

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

On Converting Sum-Product Networks into Bayesian Networks.

Proceedings of the Advances in Artificial Intelligence, 2017

Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks.

Proceedings of the Advances in Artificial Intelligence, 2017

2016

Bayesian network inference using marginal trees.

Int. J. Approx. Reasoning, 2016

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

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

On Bayesian Network Inference with Simple Propagation.

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

Testing Independencies in Bayesian Networks with i-Separation.

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

Bayesian Network Inference with Simple Propagation.

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

On Tree Structures Used by Simple Propagation.

Proceedings of the Advances in Artificial Intelligence, 2016

A Simple Method for Testing Independencies in Bayesian Networks.

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Uncertain reasoning at FLAIRS.

J. Applied Logic, 2015

Determining Good Elimination Orderings with Darwinian Networks.

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

Introducing Darwinian Networks (Invited Presentation).

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

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation.

Proceedings of the Advances in Artificial Intelligence, 2015

Darwinian Networks.

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Bayesian Network Inference Using Marginal Trees.

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

2013

Rough Support Vectors: Classification, Regression, Clustering.

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

Editorial: Uncertain reasoning FLAIRS 2011.

Int. J. Approx. Reasoning, 2013

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

Int. J. Approx. Reasoning, 2013

A Method for Implementing a Probabilistic Model as a Relational Database

CoRR, 2013

Contextual Weak Independence in Bayesian Networks

CoRR, 2013

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

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

On Semantics of Inference in Bayesian Networks.

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

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

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Special Track on Uncertain Reasoning.

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

2011

Conservative and aggressive rough SVR modeling.

Theor. Comput. Sci., 2011

Join tree propagation utilizing both arc reversal and variable elimination.

Int. J. Approx. Reasoning, 2011

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

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

Special Track on Uncertain Reasoning.

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

Using Four Cost Measures to Determine Arc Reversal Orderings.

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

2010

The CPT Structure of Variable Elimination in Discrete Bayesian Networks.

Proceedings of the Advances in Intelligent Information Systems, 2010

Causal Discovery.

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

Join tree propagation with prioritized messages.

Networks, 2010

Rough support vector regression.

European Journal of Operational Research, 2010

2009

A join tree probability propagation architecture for semantic modeling.

J. Intell. Inf. Syst., 2009

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

Inf. Sci., 2009

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

Intelligent Decision Technologies, 2009

Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination.

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

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

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

2008

A Web-Based Interface for Hiding Bayesian Network Inference.

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.

Inf. Sci., 2007

Current Trends in Bayesian Network Inference.

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

Precision and Recall in Rough Support Vector Machines.

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

2006

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

Web Intelligence and Agent Systems, 2006

An Efficient Algorithm for Inference in Rough Set Flow Graphs.

, 2006

An Improved LAZY-AR Approach to Bayesian Network Inference.

Proceedings of the Advances in Artificial Intelligence, 2006

2005

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

Proceedings of the Rough Sets, 2005

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

Proceedings of the Rough Sets, 2005

The Computational Complexity of Inference Using Rough Set Flow Graphs.

Proceedings of the Rough Sets, 2005

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

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

Sophisticated Indexes for Implementing Probabilistic Expert Systems.

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

Modelling Multiagent Bayesian Networks with Inclusion Dependencies.

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.

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

Incorporating Evidence in Bayesian Networks with the Select Operator.

Proceedings of the Advances in Artificial Intelligence, 2005

Causal Discovery.

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

2004

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

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

An Integrated Approach to Discovery in Complex Information Spaces.

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

A Web-Based Intelligent Tutoring System for Computer Programming.

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

A Foundational Approach to Mining Itemset Utilities from Databases.

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

Towards Jointree Propagation with Conditional Probability Distributions.

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

2003

A Query Processing Algorithm for Hierarchical Markov Networks.

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

A Non-local Coarsening Result in Granular Probabilistic Networks.

Proceedings of the Rough Sets, 2003

Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks.

Proceedings of the Rough Sets, 2003

Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks.

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

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.

Proceedings of the Advances in Artificial Intelligence, 2003

A New Inference Axiom for Probabilistic Conditional Independence.

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Triangulation of Bayesian Networks: A Relational Database Perspective.

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

Properties of Weak Conditional Independence.

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

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

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

Acquisition Methods for Contextual Weak Independence.

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

Critical Remarks on Bayesian Network Libraries.

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

FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences.

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

On the Role of Contextual Weak Independence in Probabilistic Inference.

Proceedings of the Advances in Artificial Intelligence, 2002

2001

Constructing the Dependency Structure of a Multiagent Probabilistic Network.

IEEE Trans. Knowl. Data Eng., 2001

On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks.

Proceedings of the Web Intelligence: Research and Development, 2001

2000

On the implication problem for probabilistic conditional independency.

IEEE Trans. Systems, Man, and Cybernetics, Part A, 2000

Rough Sets for Uncertainty Reasoning.

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

A Comparative Study of Noncontextual and Contextual Dependencies.

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

1999

Contextual Weak Independence in Bayesian Networks.

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.

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

Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems.

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

1998

Automated Database Schema Design Using Mined Data Dependencies.

JASIS, 1998

Equivalent Characterization of a Class of Conditional Probabilistic Independencies.

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

Probabilistic Reasoning in a Distributed Multi-Agent Environment.

Proceedings of the Third International Conference on Multiagent Systems, 1998

1995

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

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