C. Butz

发表

Interval set classifiers using support vector machines

P. Lingras, C. Butz, 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

Precision and Recall in Rough Support Vector Machines

P. Lingras, C. Butz, 2007 .

FD/spl I.bar/Mine: discovering functional dependencies in a database using equivalences

Cory J. Butz, Howard J. Hamilton, Hong Yao, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

The relational database theory of bayesian networks

C. Butz, Michael Wong, Michael S. K. M. Wong, 2000 .

Financial Series Forecasting Using Dual Rough Support Vector Regression

P. Lingras, C. Butz, P. Bhalchandra, 2012 .

A simple graphical approach for understanding probabilistic inference in Bayesian networks

Cory J. Butz, Junying Chen, Hong Yao, 2009, Inf. Sci..

The Semantics of Intermediate CPTs in Variable Elimination

C. Butz, Wen Yan, 2010 .

Join tree propagation with prioritized messages

C. Butz, H. Yao, S. Hua, 2010 .

The membership problem for probabilistic and data dependencies

S. K. Wong, C. Butz, 2002 .

On Undirected Representations of Bayesian

C. Butz, NetworksS, .. Wong, 2001 .

Automated Database Schema Design UsingMined Data

C. Butz, Y., .. Wong, 2022 .

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

Yiyu Yao, Jingtao Yao, Cory J. Butz, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Evaluation and Simplification of rules created by 1-v-r Rough SVM multiclassification

P. Lingras, C. Butz, 2006, NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society.

Considerations in the development of a therapist-assisted internet cognitive behavior therapy service.

C. Butz, B. Klein, H. Hadjistavropoulos, 2011 .

MESSAGE FROM HEAD OF THE DEPARTMENT

C. Butz, 2007 .

Inheritance of Pantoea type III secretion systems through both vertical and horizontal transfer

C. Butz, Morgan W. B. Kirzinger, John Stavrinides, 2015, Molecular Genetics and Genomics.

On Darwinian Networks

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, 2017, Comput. Intell..

Darwinian Networks

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, 2015, Canadian Conference on AI.

Introducing Darwinian Networks

C. Butz, 2015 .

Granular Information Retrieval

Cory J. Butz, S. K. Michael Wong, Yiyu Yao, 2000 .

Rough support vector regression

Cory J. Butz, Pawan Lingras, P. Lingras, 2010, Eur. J. Oper. Res..

A web-based bayesian intelligent tutoring system for computer programming

Cory J. Butz, Shan Hua, R. Brien Maguire, 2006, Web Intell. Agent Syst..

Precision and Recall in Rough Support Vector Machines

P. Lingras, C. Butz, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

An Efficient Algorithm for Inference in Rough Set Flow Graphs

Wen Yan, Cory J. Butz, Boting Yang, 2006, Trans. Rough Sets.

The Computational Complexity of Inference Using Rough Set Flow Graphs

Wen Yan, Cory J. Butz, Boting Yang, 2005, RSFDGrC.

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

Cory J. Butz, Pawan Lingras, P. Lingras, 2005, RSFDGrC.

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

Cory J. Butz, Pawan Lingras, P. Lingras, 2005, 2005 IEEE International Conference on Granular Computing.

Rough Sets for Uncertainty Reasoning

Cory J. Butz, S. K. Michael Wong, C. Butz, 2000, Rough Sets and Current Trends in Computing.

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

Cory J. Butz, Pawan Lingras, P. Lingras, 2007, Inf. Sci..

An empirical study of Bayesian network inference with simple propagation

Cory J. Butz, Anders L. Madsen, André E. dos Santos, 2018, Int. J. Approx. Reason..

On Information-Theoretic Measures of Attribute Importance

Yiyu Yao, Cory J. Butz, S. K. Michael Wong, 1999, PAKDD.

A Foundational Approach to Mining Itemset Utilities from Databases

Cory J. Butz, Howard J. Hamilton, Hong Yao, 2004, SDM.

Contextual Weak Independence in Bayesian Networks

Cory J. Butz, S. K. Michael Wong, C. Butz, 1999, UAI.

A Bayesian Approach to User Profiling in Information Retrieval

C. Butz, S. K. M. Wong, C. J. Butz, 2000 .

Sum-Product Network Decompilation

C. Butz, Robert Peharz, J. S. Oliveira, 2019, PGM.

Simple Propagation with Arc-Reversal in Bayesian Networks

Cory J. Butz, Anders L. Madsen, André E. dos Santos, 2018, PGM.

An Empirical Study of Methods for SPN Learning and Inference

Pascal Poupart, Cory J. Butz, Agastya Kalra, 2018, PGM.

Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, 2018, IEA/AIE.

On learning the structure of sum-product networks

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, 2017, Canadian Conference on AI.

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation

Cory J. Butz, Anders L. Madsen, A. Madsen, 2015, Canadian Conference on AI.

Bayesian network inference using marginal trees

Cory J. Butz, Anders L. Madsen, Jhonatan de S. Oliveira, 2014, Int. J. Approx. Reason..

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

Cory J. Butz, Anders L. Madsen, A. Madsen, 2013, Int. J. Approx. Reason..

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

Cory J. Butz, Anders L. Madsen, A. Madsen, 2013, ECSQARU.

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

Cory J. Butz, C. Butz, 2011, SUM.

Using Four Cost Measures to Determine Arc Reversal Orderings

Cory J. Butz, Anders L. Madsen, Kevin Williams, 2011, ECSQARU.

Join tree propagation with prioritized messages

Cory J. Butz, Hong Yao, Ken Konkel, 2010, Networks.

A join tree probability propagation architecture for semantic modeling

Cory J. Butz, Hong Yao, Shan Hua, 2009, Journal of Intelligent Information Systems.

Join tree propagation utilizing both arc reversal and variable elimination

Cory J. Butz, Pawan Lingras, Ken Konkel, 2009, Int. J. Approx. Reason..

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks

Dan Wu, Cory J. Butz, C. Butz, 2005, RSFDGrC.

Equivalent Characterization of a Class of Conditional Probabilistic Independencies

Cory J. Butz, S. K. Michael Wong, C. Butz, 1998, Rough Sets and Current Trends in Computing.

On the Importance of Elimination Heuristics in Lazy Propagation

Cory J. Butz, Anders L. Madsen, Hugin Expert, 2012 .

Rough Support Vectors: Classification, Regression, Clustering

Cory J. Butz, Pawan Lingras, Parag Bhalchandra, 2013, Rough Sets and Intelligent Systems.

On Semantics of Inference in Bayesian Networks

Wen Yan, Cory J. Butz, Anders L. Madsen, 2013, ECSQARU.

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

Wen Yan, Cory J. Butz, Anders L. Madsen, 2013, Canadian Conference on AI.

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

A. Madsen, C. Butz, 2013, Int. J. Approx. Reason..

A Web-Based Intelligent Tutoring System for Computer Programming

Cory J. Butz, Shan Hua, R. Brien Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Solving Influence Diagrams with Simple Propagation

Cory J. Butz, Anders L. Madsen, André E. dos Santos, 2019, Canadian Conference on AI.

On a simple method for testing independencies in Bayesian networks

Cory J. Butz, Christophe Gonzales, André E. dos Santos, 2018, Comput. Intell..

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

Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, 2016, Probabilistic Graphical Models.

A Simple Method for Testing Independencies in Bayesian Networks

Cory J. Butz, Christophe Gonzales, André E. dos Santos, 2016, Canadian Conference on AI.

Bayesian Network Inference with Simple Propagation

Cory J. Butz, Anders L. Madsen, André E. dos Santos, 2016, FLAIRS.

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

Cory J. Butz, Christophe Gonzales, André E. dos Santos, 2018, Int. J. Approx. Reason..

Web-Based Bayesian Intelligent Tutoring Systems

Cory J. Butz, R. B. Maguire, S. Hua, 2008 .