S. K. Michael Wong

According to our database1, S. K. Michael Wong
  • authored at least 101 papers between 1984 and 2013.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2013
Combination of Evidence Using the Principle of Minimum Information Gain
CoRR, 2013

Compatibility of Quantitative and Qualitative Representations of Belief
CoRR, 2013

Interval Structure: A Framework for Representing Uncertain Information
CoRR, 2013

Qualitative Measures of Ambiguity
CoRR, 2013

On Axiomatization of Probabilistic Conditional Independencies
CoRR, 2013

A Method for Implementing a Probabilistic Model as a Relational Database
CoRR, 2013

Critical Remarks on Single Link Search in Learning Belief Networks
CoRR, 2013

Testing Implication of Probabilistic Dependencies
CoRR, 2013

Contextual Weak Independence in Bayesian Networks
CoRR, 2013

2011
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model.
Trans. Rough Sets, 2011

2008
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

2007
A General Definition of an Attribute Reduct.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

2005
Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
The marginal factorization of Bayesian networks and its application.
Int. J. Intell. Syst., 2004

Local Propagation in Bayesian networks Versus Semi-Join Program in Databases.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Computing Marginals with Hierarchical Acyclic Hypergraphs.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003
An alternative characterization of a Bayesian network.
Int. J. Approx. Reasoning, 2003

Critical Remarks on the Computational Complexity in Probabilistic Inference.
Proceedings of the Rough Sets, 2003

A Common Framework for Rough Sets, Databases, and Bayesian Networks.
Proceedings of the Rough Sets, 2003

A Simple Method for Identifying Compelled Edges in DAGs.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 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

Construction of a Bayesian DAG from Conditional Independencies.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2002

An Algebraic Characterization of Equivalent Bayesian Networks.
Proceedings of the Intelligent Information Processing, 2002

Identifying Compelled Edges in a DAG - A Constraint Satisfaction Problem.
Proceedings of the International Conference on Artificial Intelligence, 2002

Conflict Resolution in Probabilistic Multi-Agent Systems.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

A Structural Characterization of DAG-Isomorphic Dependency Models.
Proceedings of the Advances in Artificial Intelligence, 2002

Construction of a Non-redundant Cover for Conditional Independencies.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Constructing the Dependency Structure of a Multiagent Probabilistic Network.
IEEE Trans. Knowl. Data Eng., 2001

The Relational Structure of Belief Networks.
J. Intell. Inf. Syst., 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

1997
A "Microscopic" Study of Minimum Entropy Search in Learning Decomposable Markov Networks.
Machine Learning, 1997

An Extended Relational Data Model for Probabilistic Reasoning.
J. Intell. Inf. Syst., 1997

Interval Approaches for Uncertain Reasoning.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

1996
On the Completeness of Incidence Calculus.
J. Autom. Reasoning, 1996

On qualitative measures of ignorance.
Int. J. Intell. Syst., 1996

Critical Remarks on Single Link Search in Learning Belief Networks.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

Testing Implication of Probabilistic Dependencies.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
On Modeling Information Retrieval with Probabilistic Inference.
ACM Trans. Inf. Syst., 1995

Quantification of Unvertainty in Classification Rules Discovered from Databases.
Computational Intelligence, 1995

On Modeling Uncertainty with Interval Structures.
Computational Intelligence, 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

1994
Representation of Qualitative User Preference by Quantitative Belief Functions.
IEEE Trans. Knowl. Data Eng., 1994

On Axiomatization of Probabilistic Conditional Independencies.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

A Global Measure of Ambiguity for Classification.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

Representation of Bayesian Networks as Relational Databases.
Proceedings of the Advances in Intelligent Computing, 1994

1993
A Probabilistic Method for Computing Term-by-Term Relationships.
JASIS, 1993

Qualitative Measures of Ambiguity.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Computation of Term Associations by a Neural Network.
Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27, 1993

Quantifying Uncertainty of Knowledge Discovered From Databases.
Proceedings of the Rough Sets, 1993

Rough Sets: A Special Case of Interval Structures.
Proceedings of the Rough Sets, 1993

Ruzzy Representations in Rough Set Approximations.
Proceedings of the Rough Sets, 1993

Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions.
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

1992
A Partially Supervised Learning Algorithm for Linearly Separable Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

An Information-Theoretic Measure of Term Specificity.
JASIS, 1992

A Decision Theoretic Framework for Approximating Concepts.
International Journal of Man-Machine Studies, 1992

Characterization of Comparative Belief Structures.
International Journal of Man-Machine Studies, 1992

Interval Structure: A Framework for Representing Uncertain Information.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

An Analysis of Vector Space Models Based on Computational Geometry.
Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Copenhagen, 1992

Non-Numeric Belief Structures.
Proceedings of the Computing and Information, 1992

1991
Axiomatization of qualitative belief structure.
IEEE Trans. Systems, Man, and Cybernetics, 1991

Evaluation of an adaptive linear model.
JASIS, 1991

A probabilistic inference model for information retrieval.
Inf. Syst., 1991

Compatibility of Quantitative and Qualitative Representations of Belief.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Preference Structure, Inference and Set-Oriented Retrieval.
Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, 1991

Towards Implementing Valuation Based Systems with Relational Databases.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Propagation of Preference Relations in Qualitative Inference Networks.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
Query formulation in linear retrieval models.
JASIS, 1990

A generalized binary probabilistic independence model.
JASIS, 1990

Two Perspectives of the Dempster-Shafer Theory of Belief Functions.
International Journal of Man-Machine Studies, 1990

1989
Comments on Approximating Discrete Probability Distributions with Dependence Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 1989

Extended Boolean query processing in the generalized vector space model.
Inf. Syst., 1989

A probability distribution model for information retrieval.
Inf. Process. Manage., 1989

An Adaptive Algorithm for Finding a Covering Hypersphere.
Inf. Process. Lett., 1989

1988
An algorithm for multidimensional data clustering.
ACM Trans. Math. Softw., 1988

Rough Sets: Probabilistic versus Deterministic Approach.
International Journal of Man-Machine Studies, 1988

Linear Structure in Information Retrieval.
Proceedings of the SIGIR'88, 1988

An Optimistic Rule for Accumulation of Evidence.
Proceedings of the Methodologies for Intelligent Systems, 1988

1987
On Modeling of Information Retrieval Concepts in Vector Space.
ACM Trans. Database Syst., 1987

A Statistical Similarity Measure.
Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1987

Adaptive Linear Information Retrieval Models.
Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1987

An Inductive Learning System - ILS.
Proceedings of the Methodologies for Intelligent Systems, 1987

1986
A Concept-Learning Information Retrieval System - Basic Ideas.
SIGIR Forum, 1986

A Unified Approach for Artificial Intelligence and Information Retrieval.
SIGIR Forum, 1986

A critical analysis of vector space model for information retrieval.
JASIS, 1986

Comparison of Rough-Set and Statistical Methods in Inductive Learning.
International Journal of Man-Machine Studies, 1986

On Extending the Vector Space Model for Boolean Query Processing.
Proceedings of the SIGIR'86, 1986

A Machine Learning Approach to Information Retrieval.
Proceedings of the SIGIR'86, 1986

A Unified Architecture for the Integration of Data Base Management and Information Retrieval Systems.
IFIP Congress, 1986

1985
Generalized Vector Space Model in Information Retrieval.
Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval, 1985

Allocation of Documents in Two Level Memory for Information Retrieval Systems.
FODO, 1985

1984
Vector Space Model of Information Retrieval - A Reevaluation.
SIGIR, 1984


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