Cory J. Butz
According to our database1,
Cory J. Butz
authored at least 93 papers
between 1995 and 2018.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
On csauthors.net:
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
On a simple method for testing independencies in Bayesian networks.
Computational Intelligence, 2018
Simple Propagation with Arc-Reversal in Bayesian Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
An Empirical Study of Methods for SPN Learning and Inference.
Proceedings of the International Conference on Probabilistic Graphical Models, 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