S. K. Michael Wong

Publication Activity (10 Years)

Years Active: 1984-2013
Publications (10 Years): 0

Top Venues

CoRR

RSKT

Publications

S. K. Michael Wong, Z. W. Wang
On Axiomatization of Probabilistic Conditional Independencies CoRR (2013)
S. K. Michael Wong, Zhiwei Wang
Qualitative Measures of Ambiguity CoRR (2013)
S. K. Michael Wong, Cory J. Butz
Contextual Weak Independence in Bayesian Networks CoRR (2013)
S. K. Michael Wong
Early Development of Rough Sets - From a Personal Perspective. RSKT (2013)
S. K. Michael Wong, Lusheng Wang, Y. Y. Yao
Interval Structure: A Framework for Representing Uncertain Information CoRR (2013)
Yang Xiang, S. K. Michael Wong, Nick Cercone
Critical Remarks on Single Link Search in Learning Belief Networks CoRR (2013)
S. K. Michael Wong, Cory J. Butz, Yang Xiang
A Method for Implementing a Probabilistic Model as a Relational Database CoRR (2013)
S. K. Michael Wong
Testing Implication of Probabilistic Dependencies CoRR (2013)
S. K. Michael Wong, Y. Y. Yao, Pawan Lingras
Compatibility of Quantitative and Qualitative Representations of Belief CoRR (2013)
S. K. Michael Wong, Pawan Lingras
Combination of Evidence Using the Principle of Minimum Information Gain CoRR (2013)
Yan Zhao, S. K. Michael Wong, Yiyu Yao
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model. Trans. Rough Sets 13 (2011)
S. K. Michael Wong, Nasser Noroozi
A Belief Structure for Reasoning about Knowledge. RSKT (2010)
Yan Zhao, S. K. Michael Wong, Y. Y. Yao
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model. RSCTC (2008)
Yan Zhao, Feng Luo, S. K. Michael Wong, Yiyu Yao
A General Definition of an Attribute Reduct. RSKT (2007)
Dan Wu, S. K. Michael Wong
Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective. FLAIRS Conference (2005)
Dan Wu, S. K. Michael Wong
Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13 (5) (2005)
S. K. Michael Wong, Tao Lin
Computing Marginals with Hierarchical Acyclic Hypergraphs. FLAIRS Conference (2004)
Dan Wu, S. K. Michael Wong
Local Propagation in Bayesian networks Versus Semi-Join Program in Databases. FLAIRS Conference (2004)
Dan Wu, S. K. Michael Wong
The marginal factorization of Bayesian networks and its application. Int. J. Intell. Syst. 19 (8) (2004)
S. K. Michael Wong, Dan Wu
A Common Framework for Rough Sets, Databases, and Bayesian Networks. RSFDGrC (2003)
S. K. Michael Wong, Dan Wu, Cory J. Butz
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. Canadian Conference on AI (2003)
S. K. Michael Wong, Dan Wu
A Simple Method for Identifying Compelled Edges in DAGs. FLAIRS Conference (2003)
S. K. Michael Wong, Tao Lin
An alternative characterization of a Bayesian network. Int. J. Approx. Reason. 33 (3) (2003)
S. K. Michael Wong, Dan Wu, Yiyu Yao
Critical Remarks on the Computational Complexity in Probabilistic Inference. RSFDGrC (2003)
Cory J. Butz, S. K. Michael Wong, Dan Wu
A New Inference Axiom for Probabilistic Conditional Independence. Canadian Conference on AI (2003)
S. K. Michael Wong, Tao Lin, Dan Wu
Construction of a Non-redundant Cover for Conditional Independencies. Canadian Conference on AI (2002)
S. K. Michael Wong, Dan Wu
An Algebraic Characterization of Equivalent Bayesian Networks. Intelligent Information Processing (2002)
S. K. Michael Wong, Dan Wu
Automated mining of granular database scheme. FUZZ-IEEE (2002)
S. K. Michael Wong, Tao Lin
Conflict Resolution in Probabilistic Multi-Agent Systems. FLAIRS Conference (2002)
S. K. Michael Wong, Dan Wu, Tao Lin
A Structural Characterization of DAG-Isomorphic Dependency Models. Canadian Conference on AI (2002)
S. K. Michael Wong, Tao Lin, Dan Wu
Construction of a Bayesian DAG from Conditional Independencies. AI&M (2002)
S. K. Michael Wong, Dan Wu
Identifying Compelled Edges in a DAG - A Constraint Satisfaction Problem. IC-AI (2002)
S. K. Michael Wong, Dan Wu, Cory J. Butz
Triangulation of Bayesian Networks: A Relational Database Perspective. Rough Sets and Current Trends in Computing (2002)
S. K. Michael Wong
The Relational Structure of Belief Networks. J. Intell. Inf. Syst. 16 (2) (2001)
S. K. Michael Wong, Cory J. Butz
Constructing the Dependency Structure of a Multiagent Probabilistic Network. IEEE Trans. Knowl. Data Eng. 13 (3) (2001)
S. K. Michael Wong, Cory J. Butz
Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing (2000)
S. K. Michael Wong, Cory J. Butz, Dan Wu
On the implication problem for probabilistic conditional independency. IEEE Trans. Syst. Man Cybern. Part A 30 (6) (2000)
S. K. Michael Wong, Cory J. Butz
A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS (2000)
Yiyu Yao, S. K. Michael Wong, Cory J. Butz
On Information-Theoretic Measures of Attribute Importance. PAKDD (1999)
S. K. Michael Wong, Cory J. Butz
Contextual Weak Independence in Bayesian Networks. UAI (1999)
Cory J. Butz, S. K. Michael Wong
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS (1999)
S. K. Michael Wong, Cory J. Butz
Equivalent Characterization of a Class of Conditional Probabilistic Independencies. Rough Sets and Current Trends in Computing (1998)
S. K. Michael Wong, Cory J. Butz
Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS (1998)
S. K. Michael Wong, Cory J. Butz, Yang Xiang
Automated Database Schema Design Using Mined Data Dependencies. J. Am. Soc. Inf. Sci. 49 (5) (1998)
S. K. Michael Wong
An Extended Relational Data Model for Probabilistic Reasoning. J. Intell. Inf. Syst. 9 (2) (1997)
Yang Xiang, S. K. Michael Wong, Nick Cercone
A "Microscopic" Study of Minimum Entropy Search in Learning Decomposable Markov Networks. Mach. Learn. 26 (1) (1997)
Yiyu Yao, S. K. Michael Wong
Interval Approaches for Uncertain Reasoning. ISMIS (1997)
Yang Xiang, S. K. Michael Wong, Nick Cercone
Critical Remarks on Single Link Search in Learning Belief Networks. UAI (1996)
S. K. Michael Wong, Zhiwei Wang, Peter Bollmann-Sdorra
On qualitative measures of ignorance. Int. J. Intell. Syst. 11 (1) (1996)
S. K. Michael Wong
Testing Implication of Probabilistic Dependencies. UAI (1996)
Lusheng Wang, S. K. Michael Wong, Yiyu Yao
On the Completeness of Incidence Calculus. J. Autom. Reason. 16 (3) (1996)
S. K. Michael Wong, Lusheng Wang, Yiyu Yao
On Modeling Uncertainty with Interval Structures. Comput. Intell. 11 (1995)
Yang Xiang, S. K. Michael Wong, Nick Cercone
Quantification of Unvertainty in Classification Rules Discovered from Databases. Comput. Intell. 11 (1995)
S. K. Michael Wong, Yiyu Yao
On Modeling Information Retrieval with Probabilistic Inference. ACM Trans. Inf. Syst. 13 (1) (1995)
S. K. Michael Wong, Cory J. Butz, Yang Xiang
A Method for Implementing a Probabilistic Model as a Relational Database. UAI (1995)
S. K. Michael Wong, Pawan Lingras
Representation of Qualitative User Preference by Quantitative Belief Functions. IEEE Trans. Knowl. Data Eng. 6 (1) (1994)
Zhiwei Wang, S. K. Michael Wong
A Global Measure of Ambiguity for Classification. ISMIS (1994)
S. K. Michael Wong, Zhiwei Wang
On Axiomatization of Probabilistic Conditional Independencies. UAI (1994)
S. K. Michael Wong, Yang Xiang, Xiaopin Nie
Representation of Bayesian Networks as Relational Databases. IPMU (1994)
S. K. Michael Wong, Yiyu Yao
A Probabilistic Method for Computing Term-by-Term Relationships. J. Am. Soc. Inf. Sci. 44 (8) (1993)
S. K. Michael Wong, Zhiwei Wang
Qualitative Measures of Ambiguity. UAI (1993)
S. K. Michael Wong, Xiaopin Nie
Rough Sets: A Special Case of Interval Structures. RSKD (1993)
C. W. R. Chau, Pawan Lingras, S. K. Michael Wong
Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions. ISMIS (1993)
S. K. Michael Wong, Y. J. Cai, Y. Y. Yao
An application of neural networks in adaptive information retrieval. ICNN (1993)
Yang Xiang, S. K. Michael Wong, Nick Cercone
Quantifying Uncertainty of Knowledge Discovered From Databases. RSKD (1993)
Michael Hadjimichael, S. K. Michael Wong
Ruzzy Representations in Rough Set Approximations. RSKD (1993)
S. K. Michael Wong, Y. J. Cai, Yiyu Yao
Computation of Term Associations by a Neural Network. SIGIR (1993)
S. K. Michael Wong, Lusheng Wang, Yiyu Yao
Interval Structure: A Framework for Representing Uncertain Information. UAI (1992)
S. K. Michael Wong, Lusheng Wang, Yiyu Yao
Non-Numeric Belief Structures. ICCI (1992)
S. J. Wan, S. K. Michael Wong
A Partially Supervised Learning Algorithm for Linearly Separable Systems. IEEE Trans. Pattern Anal. Mach. Intell. 14 (10) (1992)
S. K. Michael Wong, Yiyu Yao
An Information-Theoretic Measure of Term Specificity. J. Am. Soc. Inf. Sci. 43 (1) (1992)
S. K. Michael Wong, Yiyu Yao, Peter Bollmann
Characterization of Comparative Belief Structures. Int. J. Man Mach. Stud. 37 (1) (1992)
Yiyu Yao, S. K. Michael Wong
A Decision Theoretic Framework for Approximating Concepts. Int. J. Man Mach. Stud. 37 (6) (1992)
Zhiwei Wang, S. K. Michael Wong, Yiyu Yao
An Analysis of Vector Space Models Based on Computational Geometry. SIGIR (1992)
S. K. Michael Wong, Pawan Lingras, Yiyu Yao
Towards Implementing Valuation Based Systems with Relational Databases. ISMIS (1991)
S. K. Michael Wong, Yiyu Yao, Pawan Lingras
Compatibility of Quantitative and Qualitative Representations of Belief. UAI (1991)
S. K. Michael Wong, Pawan Lingras, Yiyu Yao
Propagation of Preference Relations in Qualitative Inference Networks. IJCAI (1991)
S. K. Michael Wong, Yiyu Yao
A probabilistic inference model for information retrieval. Inf. Syst. 16 (3) (1991)
S. K. Michael Wong, Yiyu Yao, Gerard Salton, Chris Buckley
Evaluation of an adaptive linear model. J. Am. Soc. Inf. Sci. 42 (10) (1991)
Yiyu Yao, S. K. Michael Wong
Preference Structure, Inference and Set-Oriented Retrieval. SIGIR (1991)
S. K. Michael Wong, Yiyu Yao, Peter Bollmann, H. C. Burger
Axiomatization of qualitative belief structure. IEEE Trans. Syst. Man Cybern. 21 (4) (1991)
S. K. Michael Wong, Yiyu Yao
Query formulation in linear retrieval models. J. Am. Soc. Inf. Sci. 41 (5) (1990)
S. K. Michael Wong, Yiyu Yao
A generalized binary probabilistic independence model. J. Am. Soc. Inf. Sci. 41 (5) (1990)
Pawan Lingras, S. K. Michael Wong
Two Perspectives of the Dempster-Shafer Theory of Belief Functions. Int. J. Man Mach. Stud. 33 (4) (1990)
S. J. Wan, S. K. Michael Wong
An Adaptive Algorithm for Finding a Covering Hypersphere. Inf. Process. Lett. 33 (1) (1989)
S. K. Michael Wong, Yiyu Yao
A probability distribution model for information retrieval. Inf. Process. Manag. 25 (1) (1989)
S. K. Michael Wong, F. C. S. Poon
Comments on Approximating Discrete Probability Distributions with Dependence Trees. IEEE Trans. Pattern Anal. Mach. Intell. 11 (3) (1989)
S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong
Extended Boolean query processing in the generalized vector space model. Inf. Syst. 14 (1) (1989)
Zdzislaw Pawlak, S. K. Michael Wong, Wojciech Ziarko
Rough Sets: Probabilistic versus Deterministic Approach. Int. J. Man Mach. Stud. 29 (1) (1988)
Pawan Lingras, S. K. Michael Wong
An Optimistic Rule for Accumulation of Evidence. ISMIS (1988)
S. J. Wan, S. K. Michael Wong, Przemyslaw Prusinkiewicz
An algorithm for multidimensional data clustering. ACM Trans. Math. Softw. 14 (2) (1988)
S. K. Michael Wong, Yiyu Yao, Peter Bollmann
Linear Structure in Information Retrieval. SIGIR (1988)
S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong
On Modeling of Information Retrieval Concepts in Vector Space. ACM Trans. Database Syst. 12 (2) (1987)
J. H. Wong, S. K. Michael Wong
An Inductive Learning System - ILS. ISMIS (1987)
S. K. Michael Wong, Yiyu Yao
A Statistical Similarity Measure. SIGIR (1987)
Peter Bollmann, S. K. Michael Wong
Adaptive Linear Information Retrieval Models. SIGIR (1987)
S. K. Michael Wong, Wojciech Ziarko, Vijay V. Raghavan, P. C. N. Wong
On Extending the Vector Space Model for Boolean Query Processing. SIGIR (1986)
S. K. Michael Wong, Wojciech Ziarko, R. Li Ye
Comparison of Rough-Set and Statistical Methods in Inductive Learning. Int. J. Man Mach. Stud. 25 (1) (1986)
S. K. Michael Wong, Wojciech Ziarko
On learning and evaluation of decision rules in the context of rough sets. ISMIS (1986)
S. K. Michael Wong, Wojciech Ziarko
A Concept-Learning Information Retrieval System - Basic Ideas. SIGIR Forum 20 (1-4) (1986)

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Publication Activity (10 Years)

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S. K. Michael Wong