S. K. Michael Wong

发表

Rough Sets: A Special Case of Interval Structures

S. K. Michael Wong, Xiaopin Nie, 1993, RSKD.

A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model

Yiyu Yao, S. K. Michael Wong, Yan Zhao, 2008, RSCTC.

A New Inference Axiom for Probabilistic Conditional Independence

Dan Wu, Cory J. Butz, S. K. Michael Wong, 2003, Canadian Conference on AI.

An Inductive Learning System - ILS

S. K. Michael Wong, J. H. Wong, 1987, ISMIS.

A statistical similarity measure

Yiyu Yao, S. K. Michael Wong, Yiyu Yao, 1987, SIGIR '87.

Characterization of Comparative Belief Structures

S. K. Michael Wong, Peter Bollmann-Sdorra, Yiyu Yao, 1992, Int. J. Man Mach. Stud..

Identifying Compelled Edges in a DAG - A Constraint Satisfaction Problem

Dan Wu, S. K. Michael Wong, 2002, IC-AI.

Construction of a Bayesian DAG from Conditional Independencies

Dan Wu, Tao Lin, S. K. Michael Wong, 2002, ISAIM.

A Partially Supervised Learning Algorithm for Linearly Separable Systems

S. K. Michael Wong, S. J. Wan, S. Wan, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

A generalized binary probabilistic independence model

Yiyu Yao, S. K. Michael Wong, 1990, J. Am. Soc. Inf. Sci..

An analysis of vector space models based on computational geometry

Yiyu Yao, S. K. Michael Wong, Zhiwei Wang, 1992, SIGIR '92.

An Optimistic Rule for Accumulation of Evidence

S. K. Michael Wong, Pawan Lingras, 1988, ISMIS.

A concept-learning information retrieval system-basic ideas

S. K. Michael Wong, Wojciech Ziarko, 1986, SIGF.

On qualitative measures of ignorance

S. K. Michael Wong, Zhiwei Wang, Peter Bollmann-Sdorra, 1996, Int. J. Intell. Syst..

A machine learning approach in information retrieval

S. K. Michael Wong, Wojciech Ziarko, W. Ziarko, 1986, SIGIR '86.

A Unified Architecture for the Integration of Data Base Management and Information Retrieval Systems

Vijay V. Raghavan, S. K. Michael Wong, Lawrence V. Saxton, 1986, IFIP Congress.

Computation of term associations by a neural network

Yiyu Yao, S. K. Michael Wong, Y. J. Cai, 1993, SIGIR.

Rough Sets: Probabilistic versus Deterministic Approach

S. K. Michael Wong, Wojciech Ziarko, Zdzislaw Pawlak, 1988, Int. J. Man Mach. Stud..

On Undirected Representations of Bayesian Networks

Cory J. Butz, S. K. Michael Wong, David Wu, 2001 .

Testing Implication of Probabilistic Dependencies

S. K. Michael Wong, S. Wong, 1996, UAI.

A critical analysis of vector space model for information retrieval

Vijay V. Raghavan, S. K. Michael Wong, S. K. Wong, 1986, J. Am. Soc. Inf. Sci..

Granular Information Retrieval

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

On modeling of information retrieval concepts in vector spaces

Vijay V. Raghavan, P. C. Wong, S. K. Michael Wong, 1987, TODS.

Adaptive linear information retrieval models

S. K. Michael Wong, Peter Bollmann-Sdorra, P. Bollmann-Sdorra, 1987, SIGIR '87.

A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model

Yiyu Yao, S. K. Michael Wong, Yan Zhao, 2011, Trans. Rough Sets.

Ruzzy Representations in Rough Set Approximations

S. K. Michael Wong, Michael Hadjimichael, 1993, RSKD.

Computing Marginals with Hierarchical Acyclic Hypergraphs

Tao Lin, S. K. Michael Wong, S. Wong, 2004, FLAIRS.

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach

Dan Wu, Cory J. Butz, S. K. Michael Wong, 2003, Canadian Conference on AI.

The marginal factorization of Bayesian networks and its application

S. K. Michael Wong, Dan Wu, 2004, Int. J. Intell. Syst..

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

Yang Xiang, Cory J. Butz, S. K. Michael Wong, 1995, UAI.

Construction of a Non-redundant Cover for Conditional Independencies

Dan Wu, Tao Lin, S. K. Michael Wong, 2002, Canadian Conference on AI.

Towards Implementing Valuation Based Systems with Relational Databases

Yiyu Yao, S. K. Michael Wong, Pawan Lingras, 1991, ISMIS.

Generalized vector spaces model in information retrieval

P. C. Wong, S. K. Michael Wong, Wojciech Ziarko, 1985, SIGIR '85.

Linear structure in information retrieval

S. K. Michael Wong, Peter Bollmann-Sdorra, Yiyu Yao, 1988, SIGIR '88.

CONSTRUCTION OF A MARKOV NETWORK FROM DATA FOR PROBABILISTIC INFERENCE

Yang Xiang, S. K. Michael Wong, Y. Xiang, 1994 .

The Relational Structure of Belief Networks

S. K. Michael Wong, 2004, Journal of Intelligent Information Systems.

Allocation of Documents in Two Level Memory for Information Retrieval Systems

S. K. Michael Wong, Wojciech Ziarko, W. Ziarko, 1985, FODO.

Critical Remarks on Single Link Search in Learning Belief Networks

Yang Xiang, Nick Cercone, S. K. Michael Wong, 1996, UAI.

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.

A Common Framework for Rough Sets, Databases, and Bayesian Networks

Dan Wu, S. K. Michael Wong, 2003, RSFDGrC.

A Decision Theoretic Framework for Approximating Concepts

Yiyu Yao, S. K. Michael Wong, S. K. Wong, 1992, Int. J. Man Mach. Stud..

A unified approach for artificial intelligence and information retrieval

S. K. Michael Wong, Wojciech Ziarko, W. Ziarko, 1986, SIGF.

Automated Database Schema Design Using Mined Data Dependencies

Yang Xiang, Cory J. Butz, S. K. Michael Wong, 1998, J. Am. Soc. Inf. Sci..

Quantifying Uncertainty of Knowledge Discovered From Databases

Yang Xiang, Nick Cercone, S. K. Michael Wong, 1993, RSKD.

Extended Boolean query processing in the generalized vector space model

Vijay V. Raghavan, P. C. Wong, S. K. Michael Wong, 1989, Inf. Syst..

Triangulation of Bayesian Networks: A Relational Database Perspective

Dan Wu, Cory J. Butz, S. K. Michael Wong, 2002, Rough Sets and Current Trends in Computing.

Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions

S. K. Michael Wong, Pawan Lingras, C. W. R. Chau, 1993, ISMIS.

Axiomatization of qualitative belief structure

Yiyu Yao, S. K. Michael Wong, Peter Bollmann-Sdorra, 1991, IEEE Trans. Syst. Man Cybern..

An algorithm for multidimensional data clustering

Przemyslaw Prusinkiewicz, S. K. Michael Wong, S. J. Wan, 1988, TOMS.

A probabilistic inference model for information retrieval

Yiyu Yao, S. K. Michael Wong, S. K. Wong, 1991, Inf. Syst..

A Probabilistic Method for Computing Term-by-Term Relationships

Yiyu Yao, S. K. Michael Wong, 1993, J. Am. Soc. Inf. Sci..

Constructing the Dependency Structure of a Multiagent Probabilistic Network

Cory J. Butz, S. K. Michael Wong, 2001, IEEE Trans. Knowl. Data Eng..

A Global Measure of Ambiguity for Classification

S. K. Michael Wong, Zhiwei Wang, 1994, ISMIS.

Propagation of Preference Relations in Qualitative Inference Networks

Yiyu Yao, S. K. Michael Wong, Pawan Lingras, 1991, IJCAI.

An Algebraic Characterization of Equivalent Bayesian Networks

Dan Wu, S. K. Michael Wong, 2002, Intelligent Information Processing.

Compatibility of Quantitative and Qualitative Representations of Belief

Yiyu Yao, S. K. Michael Wong, Pawan Lingras, 1994, UAI.

Contextual Weak Independence in Bayesian Networks

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

On extending the vector space model for Boolean query processing

Vijay V. Raghavan, P. C. Wong, S. K. Michael Wong, 1986, SIGIR '86.

ON MODELING UNCERTAINTY WITH INTERVAL STRUCTURES

Yiyu Yao, Lusheng Wang, S. K. Michael Wong, 1995, Comput. Intell..

QUANTIFICATION OF UNCERTAINTY IN CLASSIFICATION RULES DISCOVERED FROM DATABASES

Nick Cercone, S. K. Michael Wong, Yang Xiang, 1995, Comput. Intell..

Combination of Evidence Using the Principle of Minimum Information Gain pdf

S. K. Michael Wong, Pawan Lingras, P. Lingras, 2013, ArXiv.

Recovery protocols in multi-agent probabilistic reasoning systems

Cory J. Butz, S. K. Michael Wong, 1999, Proceedings. IDEAS'99. International Database Engineering and Applications Symposium (Cat. No.PR00265).

Global Propagation in Bayesian Networks Vs Semijoin Programs in Relational Databases

S. K. Michael Wong, Dan Wu, 2005, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Representation of Qualitative User Preference by Quantitative Belief Functions

S. K. Michael Wong, Pawan Lingras, 1994, IEEE Trans. Knowl. Data Eng..

A General Definition of an Attribute Reduct

Yiyu Yao, Feng Luo, S. K. Michael Wong, 2007, RSKT.

On Axiomatization of Probabilistic Conditional Independencies pdf

S. K. Michael Wong, Zhiwei Wang, 1994, UAI.

Two Perspectives of the Dempster-Shafer Theory of Belief Functions

S. K. Michael Wong, Pawan Lingras, 1990, Int. J. Man Mach. Stud..

An Information-Theoretic Measure of Term Specificity

Yiyu Yao, S. K. Michael Wong, S. K. Wong, 1992, J. Am. Soc. Inf. Sci..

An alternative characterization of a Bayesian network

Tao Lin, S. K. Michael Wong, 2003, Int. J. Approx. Reason..

Conflict Resolution in Probabilistic Multi-Agent Systems

Tao Lin, S. K. Michael Wong, 2002, FLAIRS Conference.

A Simple Method for Identifying Compelled Edges in DAGs

Dan Wu, S. K. Michael Wong, 2003, FLAIRS Conference.

Evaluation of an adaptive linear model

Yiyu Yao, Gerard Salton, Chris Buckley, 1991, J. Am. Soc. Inf. Sci..

On the implication problem for probabilistic conditional independency

Dan Wu, Cory J. Butz, S. K. Michael Wong, 2000, IEEE Trans. Syst. Man Cybern. Part A.

Interval Approaches for Uncertain Reasoning

Yiyu Yao, S. K. Michael Wong, 1997, ISMIS.

Probabilistic reasoning in a distributed multi-agent environment

Cory J. Butz, S. K. Michael Wong, 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).

A “Microscopic” Study of Minimum Entropy Search in Learning Decomposable Markov Networks

Yang Xiang, Nick Cercone, S. K. Michael Wong, 2004, Machine Learning.

On modeling information retrieval with probabilistic inference

Yiyu Yao, S. K. Michael Wong, S. K. Wong, 1995, TOIS.

Qualitative Measures of Ambiguity

S. K. Michael Wong, Zhiwei Wang, 1993, UAI.

Vector Space Model of Information Retrieval - A Reevaluation

Vijay V. Raghavan, S. K. Michael Wong, S. Wong, 1984, SIGIR.

Critical Remarks on the Computational Complexity in Probabilistic Inference

Yiyu Yao, Dan Wu, S. K. Michael Wong, 2003, RSFDGrC.

An Extended Relational Data Model For Probabilistic Reasoning

S. K. Michael Wong, S. Wong, 1997, Journal of Intelligent Information Systems.

Interval Structure: A Framework for Representing Uncertain Information

Yiyu Yao, Lusheng Wang, S. K. Michael Wong, 1992, UAI.

Rough Sets for Uncertainty Reasoning

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

A Comparative Study of Noncontextual and Contextual Dependencies

Cory J. Butz, S. K. Michael Wong, 2000, ISMIS.

Non-Numeric Belief Structures

Yiyu Yao, Lusheng Wang, S. K. Michael Wong, 1992, ICCI.

Local Propagation in Bayesian networks Versus Semi-Join Program in Databases

Dan Wu, S. K. Michael Wong, 2004, FLAIRS Conference.

A probability distribution model for information retrieval

Yiyu Yao, S. K. Michael Wong, S. K. Wong, 1989, Inf. Process. Manag..

A Structural Characterization of DAG-Isomorphic Dependency Models

Tao Lin, S. K. Michael Wong, Dan Wu, 2002, Canadian Conference on AI.

Comments on Approximating Discrete Probability Distributions with Dependence Trees

S. K. Michael Wong, F. C. S. Poon, 1989, IEEE Trans. Pattern Anal. Mach. Intell..

On the completeness of incidence calculus

Yiyu Yao, Lusheng Wang, S. K. Michael Wong, 1996, Journal of Automated Reasoning.

Representation of Bayesian Networks as Relational Databases

Yang Xiang, S. K. Michael Wong, Xiaopin Nie, 1994, IPMU.

Comparison of Rough-Set and Statistical Methods in Inductive Learning

S. K. Michael Wong, Wojciech Ziarko, R. Li Ye, 1986, Int. J. Man Mach. Stud..

An Adaptive Algorithm for Finding a Covering Hypersphere

S. K. Michael Wong, S. J. Wan, 1989, Inf. Process. Lett..

On Information-Theoretic Measures of Attribute Importance

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

Query formulation in linear retrieval models

Yiyu Yao, S. K. Michael Wong, 1990, J. Am. Soc. Inf. Sci..

Preference structure, inference and set-oriented retrieval

Yiyu Yao, S. K. Michael Wong, Yiyu Yao, 1991, SIGIR '91.