
- Abstract--Support vector machines (SVMs) are designed for linearly separating binary classes. Researchers have suggested
- J Intell Inf Syst DOI 10.1007/s10844-008-0073-4
- A Web-based Bayesian Intelligent Tutoring System for Computer Programming C.J. Butz, S. Hua, R.B. Maguire
- Constructing the Dependency Structure of a Multiagent Probabilistic Network
- Automated Database Schema Design Using Mined Data Dependencies
- International Society for Bayesian Analysis, 9th World Meeting,
- A Web-based Interface for Hiding Bayesian Network Inference
- Modelling Multiagent Bayesian networks with Inclusion Dependencies
- The Computational Complexity of Inference Using Rough Set Flow Graphs
- On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
- Incorporating Evidence in Bayesian networks with the Select Operator
- A Web-based Intelligent Tutoring System for Computer Programming C.J. Butz, S. Hua, R.B. Maguire
- On the Implication Problem in Granular Knowledge Systems
- Interval Set Classifiers using Support Vector Pawan Lingras Cory Butz
- Comparing Hierarchical Markov networks and Multiply Sectioned Bayesian networks
- Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks
- A Non-local Coarsening Result in Granular Probabilistic Networks
- Triangulation of Bayesian Networks: a Relational Database Perspective
- Acquisition Methods for Contextual Weak Independence
- Exploiting Contextual Independencies in Web Search and User Profiling
- On Undirected Representations of Bayesian Networks S.K.M. Wong, C.J. Butz, D. Wu
- A Comparative Study of Noncontextual and Contextual Dependencies
- The Implication of Probabilistic Conditional Independence and Embedded Multivalued Dependency
- On Data and Probabilistic Dependencies C.J. Butz, S.K.M. Wong and Y.Y. Yao
- Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre
- THE RELATIONAL DATABASE THEORY OF BAYESIAN NETWORKS
- A General Coarsening Method for Granular Probabilistic Networks Department of Computer Science, University of Regina
- A Method for Constructing the Dependency Structure of a Probabilistic Network
- A Probabilistic Network Versus Decision Rules
- A Query Processing Algorithm for Hierarchical Markov Networks Department of Computer Science
- On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks
- An Improved LAZY-AR Approach to Bayesian Network Inference
- On The Role of Contextual Weak Independence in Probabilistic Inference
- A Foundational Approach to Mining Itemset Utilities from Databases Hong Yao, Howard J. Hamilton, and Cory J. Butz
- On the Practical Irrelevance of Diverging Implication between
- On the Implication Problem for Probabilistic Conditional Independency
- A Local Nest Property in Granular Probabilistic Networks
- Properties of Weak Conditional Independence C.J. Butz and M.J. Sanscartier
- Sophisticated Indexes for Implementing Probabilistic Expert Systems
- Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination C. J. Butz and K. Konkel
- Granular Jointree Probability Propagation C.J. Butz P. Lingras
- Critical Remarks on Bayesian Network Libraries
- A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference
- Precision and Recall in Rough Support Vector Machines P. Lingras and C.J. Butz
- Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems C.J. Butz and S.K.M. Wong
- Contextual Weak Independence in Bayesian Networks S.K.M. Wong
- A Bayesian Approach to User Profiling in Information Retrieval
- Rough Sets for Uncertainty Reasoning S.K.M. Wong1
- Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
- An Integrated Approach to Discovery in Complex Information Spaces
- Constructing the Maximal Prime Decomposition of Bayesian networks Department of Computer Science, University of Regina
- The CPT Structure of Variable Elimination in Discrete Bayesian Networks
- Probabilistic Reasoning in a Distributed Multi-Agent Environment S.K.M. Wong and C.J. Butz
- IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 30, NO. 6, NOVEMBER 2000 785 On the Implication Problem for Probabilistic
- An Efficient Algorithm for Inference in Rough Set Flow Graphs
- A Method for Implementing a Probabilistic Model as a Relational S.K.M. Wong, C.J. Butz, and Y. Xiang
- A New Inference Axiom for Probabilistic Conditional Independence
- A Method for Detecting Context-Specific Independence in Conditional Probability Tables
- On Information-Theoretic Measures of Attribute Importance
- Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach
- FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences
- Equivalent Characterization of a Class of Conditional Probabilistic Independencies