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ORCIDS. K. Michael Wong
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- affiliation: University of Regina, Canada
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2010 – 2019
- 2013
[c61]S. K. Michael Wong:
Early Development of Rough Sets - From a Personal Perspective. RSKT 2013: 66-74- [i9]S. K. Michael Wong, Cory J. Butz:
Contextual Weak Independence in Bayesian Networks. CoRR abs/1301.6748 (2013) - [i8]S. K. Michael Wong:
Testing Implication of Probabilistic Dependencies. CoRR abs/1302.3610 (2013) - [i7]Yang Xiang, S. K. Michael Wong, Nick Cercone:
Critical Remarks on Single Link Search in Learning Belief Networks. CoRR abs/1302.3612 (2013) - [i6]S. K. Michael Wong, Cory J. Butz, Yang Xiang:
A Method for Implementing a Probabilistic Model as a Relational Database. CoRR abs/1302.4990 (2013) - [i5]S. K. Michael Wong, Z. W. Wang:
On Axiomatization of Probabilistic Conditional Independencies. CoRR abs/1302.6853 (2013) - [i4]S. K. Michael Wong, Zhiwei Wang:
Qualitative Measures of Ambiguity. CoRR abs/1303.1507 (2013) - [i3]S. K. Michael Wong, Lusheng Wang, Y. Y. Yao:
Interval Structure: A Framework for Representing Uncertain Information. CoRR abs/1303.5437 (2013) - [i2]S. K. Michael Wong, Y. Y. Yao, Pawan Lingras:
Compatibility of Quantitative and Qualitative Representations of Belief. CoRR abs/1303.5758 (2013) - [i1]S. K. Michael Wong, Pawan Lingras:
Combination of Evidence Using the Principle of Minimum Information Gain. CoRR abs/1304.1135 (2013) - 2011
- [j38]Yan Zhao, S. K. Michael Wong, Yiyu Yao:
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model. Trans. Rough Sets 13: 260-275 (2011) - 2010
- [c60]S. K. Michael Wong, Nasser Noroozi:
A Belief Structure for Reasoning about Knowledge. RSKT 2010: 288-297
2000 – 2009
- 2008
- [c59]Yan Zhao, S. K. Michael Wong, Y. Y. Yao:
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model. RSCTC 2008: 61-70 - 2007
- [c58]Yan Zhao, Feng Luo, S. K. Michael Wong, Yiyu Yao:
A General Definition of an Attribute Reduct. RSKT 2007: 101-108 - 2005
- [j37]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): 539-560 (2005) - [c57]Dan Wu, S. K. Michael Wong:
Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective. FLAIRS 2005: 793-798 - 2004
- [j36]Dan Wu, S. K. Michael Wong:
The marginal factorization of Bayesian networks and its application. Int. J. Intell. Syst. 19(8): 769-786 (2004) - [c56]S. K. Michael Wong, Tao Lin:
Computing Marginals with Hierarchical Acyclic Hypergraphs. FLAIRS 2004: 862-867 - [c55]Dan Wu, S. K. Michael Wong:
Local Propagation in Bayesian networks Versus Semi-Join Program in Databases. FLAIRS 2004: 868-873 - 2003
- [j35]S. K. Michael Wong, Tao Lin:
An alternative characterization of a Bayesian network. Int. J. Approx. Reason. 33(3): 221-234 (2003) - [c54]Cory J. Butz, S. K. Michael Wong, Dan Wu:
A New Inference Axiom for Probabilistic Conditional Independence. AI 2003: 568-574 - [c53]S. K. Michael Wong, Dan Wu, Cory J. Butz:
Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. AI 2003: 583-590 - [c52]S. K. Michael Wong, Dan Wu:
A Simple Method for Identifying Compelled Edges in DAGs. FLAIRS 2003: 516-520 - [c51]S. K. Michael Wong, Dan Wu:
A Common Framework for Rough Sets, Databases, and Bayesian Networks. RSFDGrC 2003: 99-103 - [c50]S. K. Michael Wong, Dan Wu, Yiyu Yao:
Critical Remarks on the Computational Complexity in Probabilistic Inference. RSFDGrC 2003: 676-681 - 2002
- [c49]S. K. Michael Wong, Dan Wu, Tao Lin:
A Structural Characterization of DAG-Isomorphic Dependency Models. AI 2002: 195-209 - [c48]S. K. Michael Wong, Tao Lin, Dan Wu:
Construction of a Non-redundant Cover for Conditional Independencies. AI 2002: 210-220 - [c47]S. K. Michael Wong, Tao Lin:
Conflict Resolution in Probabilistic Multi-Agent Systems. FLAIRS 2002: 529-533 - [c46]S. K. Michael Wong, Dan Wu:
Automated mining of granular database scheme. FUZZ-IEEE 2002: 690-694 - [c45]S. K. Michael Wong, Dan Wu:
Identifying Compelled Edges in a DAG - A Constraint Satisfaction Problem. IC-AI 2002: 993- - [c44]S. K. Michael Wong, Dan Wu:
An Algebraic Characterization of Equivalent Bayesian Networks. Intelligent Information Processing 2002: 177-187 - [c43]S. K. Michael Wong, Tao Lin, Dan Wu:
Construction of a Bayesian DAG from Conditional Independencies. AI&M 2002 - [c42]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: 389-396 - 2001
- [j34]S. K. Michael Wong:
The Relational Structure of Belief Networks. J. Intell. Inf. Syst. 16(2): 117-148 (2001) - [j33]S. K. Michael Wong, Cory J. Butz:
Constructing the Dependency Structure of a Multiagent Probabilistic Network. IEEE Trans. Knowl. Data Eng. 13(3): 395-415 (2001) - 2000
- [j32]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): 785-805 (2000) - [c41]S. K. Michael Wong, Cory J. Butz:
A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS 2000: 247-255 - [c40]S. K. Michael Wong, Cory J. Butz:
Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing 2000: 511-518
1990 – 1999
- 1999
- [c39]Cory J. Butz, S. K. Michael Wong:
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS 1999: 302-310 - [c38]Yiyu Yao, S. K. Michael Wong, Cory J. Butz:
On Information-Theoretic Measures of Attribute Importance. PAKDD 1999: 133-137 - [c37]S. K. Michael Wong, Cory J. Butz:
Contextual Weak Independence in Bayesian Networks. UAI 1999: 670-679 - 1998
- [j31]S. K. Michael Wong, Cory J. Butz, Yang Xiang:
Automated Database Schema Design Using Mined Data Dependencies. J. Am. Soc. Inf. Sci. 49(5): 455-470 (1998) - [c36]S. K. Michael Wong, Cory J. Butz:
Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS 1998: 341-348 - [c35]S. K. Michael Wong, Cory J. Butz:
Equivalent Characterization of a Class of Conditional Probabilistic Independencies. Rough Sets and Current Trends in Computing 1998: 338-345 - 1997
- [j30]S. K. Michael Wong:
An Extended Relational Data Model for Probabilistic Reasoning. J. Intell. Inf. Syst. 9(2): 181-202 (1997) - [j29]Yang Xiang, S. K. Michael Wong, Nick Cercone:
A "Microscopic" Study of Minimum Entropy Search in Learning Decomposable Markov Networks. Mach. Learn. 26(1): 65-92 (1997) - [c34]Yiyu Yao, S. K. Michael Wong:
Interval Approaches for Uncertain Reasoning. ISMIS 1997: 381-390 - 1996
- [j28]S. K. Michael Wong, Zhiwei Wang, Peter Bollmann-Sdorra:
On qualitative measures of ignorance. Int. J. Intell. Syst. 11(1): 27-47 (1996) - [j27]Lusheng Wang, S. K. Michael Wong, Yiyu Yao
:
On the Completeness of Incidence Calculus. J. Autom. Reason. 16(3): 355-368 (1996) - [c33]S. K. Michael Wong:
Testing Implication of Probabilistic Dependencies. UAI 1996: 545-553 - [c32]Yang Xiang, S. K. Michael Wong, Nick Cercone:
Critical Remarks on Single Link Search in Learning Belief Networks. UAI 1996: 564-571 - 1995
- [j26]S. K. Michael Wong, Lusheng Wang, Yiyu Yao:
On Modeling Uncertainty with Interval Structures. Comput. Intell. 11: 406-426 (1995) - [j25]Yang Xiang, S. K. Michael Wong, Nick Cercone:
Quantification of Unvertainty in Classification Rules Discovered from Databases. Comput. Intell. 11: 427-441 (1995) - [j24]S. K. Michael Wong, Yiyu Yao:
On Modeling Information Retrieval with Probabilistic Inference. ACM Trans. Inf. Syst. 13(1): 38-68 (1995) - [c31]S. K. Michael Wong, Cory J. Butz, Yang Xiang:
A Method for Implementing a Probabilistic Model as a Relational Database. UAI 1995: 556-564 - 1994
- [j23]S. K. Michael Wong, Pawan Lingras:
Representation of Qualitative User Preference by Quantitative Belief Functions. IEEE Trans. Knowl. Data Eng. 6(1): 72-78 (1994) - [c30]S. K. Michael Wong, Yang Xiang, Xiaopin Nie:
Representation of Bayesian Networks as Relational Databases. IPMU 1994: 117-130 - [c29]Zhiwei Wang, S. K. Michael Wong:
A Global Measure of Ambiguity for Classification. ISMIS 1994: 105-113 - [c28]S. K. Michael Wong, Zhiwei Wang:
On Axiomatization of Probabilistic Conditional Independencies. UAI 1994: 591-597 - 1993
- [j22]S. K. Michael Wong, Yiyu Yao:
A Probabilistic Method for Computing Term-by-Term Relationships. J. Am. Soc. Inf. Sci. 44(8): 431-439 (1993) - [c27]S. K. Michael Wong, Y. J. Cai, Y. Y. Yao:
An application of neural networks in adaptive information retrieval. ICNN 1993: 1667-1671 - [c26]C. W. R. Chau, Pawan Lingras, S. K. Michael Wong:
Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions. ISMIS 1993: 306-315 - [c25]Yang Xiang, S. K. Michael Wong, Nick Cercone:
Quantifying Uncertainty of Knowledge Discovered From Databases. RSKD 1993: 63-73 - [c24]S. K. Michael Wong, Xiaopin Nie:
Rough Sets: A Special Case of Interval Structures. RSKD 1993: 217-226 - [c23]Michael Hadjimichael, S. K. Michael Wong:
Ruzzy Representations in Rough Set Approximations. RSKD 1993: 349-356 - [c22]S. K. Michael Wong, Y. J. Cai, Yiyu Yao:
Computation of Term Associations by a Neural Network. SIGIR 1993: 107-115 - [c21]S. K. Michael Wong, Zhiwei Wang:
Qualitative Measures of Ambiguity. UAI 1993: 443-452 - 1992
- [j21]S. K. Michael Wong, Yiyu Yao, Peter Bollmann:
Characterization of Comparative Belief Structures. Int. J. Man Mach. Stud. 37(1): 123-133 (1992) - [j20]Yiyu Yao, S. K. Michael Wong:
A Decision Theoretic Framework for Approximating Concepts. Int. J. Man Mach. Stud. 37(6): 793-809 (1992) - [j19]S. K. Michael Wong, Yiyu Yao:
An Information-Theoretic Measure of Term Specificity. J. Am. Soc. Inf. Sci. 43(1): 54-61 (1992) - [j18]S. J. Wan, S. K. Michael Wong:
A Partially Supervised Learning Algorithm for Linearly Separable Systems. IEEE Trans. Pattern Anal. Mach. Intell. 14(10): 1052-1056 (1992) - [c20]S. K. Michael Wong, Lusheng Wang, Yiyu Yao:
Non-Numeric Belief Structures. ICCI 1992: 274-277 - [c19]Zhiwei Wang, S. K. Michael Wong, Yiyu Yao:
An Analysis of Vector Space Models Based on Computational Geometry. SIGIR 1992: 152-160 - [c18]S. K. Michael Wong, Lusheng Wang, Yiyu Yao:
Interval Structure: A Framework for Representing Uncertain Information. UAI 1992: 336-343 - 1991
- [j17]S. K. Michael Wong, Yiyu Yao:
A probabilistic inference model for information retrieval. Inf. Syst. 16(3): 301-321 (1991) - [j16]S. K. Michael Wong, Yiyu Yao, Gerard Salton, Chris Buckley:
Evaluation of an adaptive linear model. J. Am. Soc. Inf. Sci. 42(10): 723-730 (1991) - [j15]S. K. Michael Wong, Yiyu Yao, Peter Bollmann, H. C. Burger:
Axiomatization of qualitative belief structure. IEEE Trans. Syst. Man Cybern. 21(4): 726-734 (1991) - [c17]S. K. Michael Wong, Pawan Lingras, Yiyu Yao:
Propagation of Preference Relations in Qualitative Inference Networks. IJCAI 1991: 1204-1209 - [c16]S. K. Michael Wong, Pawan Lingras, Yiyu Yao:
Towards Implementing Valuation Based Systems with Relational Databases. ISMIS 1991: 172-182 - [c15]Yiyu Yao, S. K. Michael Wong:
Preference Structure, Inference and Set-Oriented Retrieval. SIGIR 1991: 211-218 - [c14]S. K. Michael Wong, Yiyu Yao, Pawan Lingras:
Compatibility of Quantitative and Qualitative Representations of Belief. UAI 1991: 418-424 - 1990
- [j14]Pawan Lingras, S. K. Michael Wong:
Two Perspectives of the Dempster-Shafer Theory of Belief Functions. Int. J. Man Mach. Stud. 33(4): 467-487 (1990) - [j13]S. K. Michael Wong, Yiyu Yao:
A generalized binary probabilistic independence model. J. Am. Soc. Inf. Sci. 41(5): 324-329 (1990) - [j12]S. K. Michael Wong, Yiyu Yao:
Query formulation in linear retrieval models. J. Am. Soc. Inf. Sci. 41(5): 334-341 (1990)
1980 – 1989
- 1989
- [j11]S. J. Wan, S. K. Michael Wong:
An Adaptive Algorithm for Finding a Covering Hypersphere. Inf. Process. Lett. 33(1): 7-10 (1989) - [j10]S. K. Michael Wong, Yiyu Yao:
A probability distribution model for information retrieval. Inf. Process. Manag. 25(1): 39-53 (1989) - [j9]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): 47-63 (1989) - [j8]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): 333-335 (1989) - 1988
- [j7]Zdzislaw Pawlak, S. K. Michael Wong, Wojciech Ziarko:
Rough Sets: Probabilistic versus Deterministic Approach. Int. J. Man Mach. Stud. 29(1): 81-95 (1988) - [j6]S. J. Wan, S. K. Michael Wong, Przemyslaw Prusinkiewicz:
An algorithm for multidimensional data clustering. ACM Trans. Math. Softw. 14(2): 153-162 (1988) - [c13]Pawan Lingras, S. K. Michael Wong:
An Optimistic Rule for Accumulation of Evidence. ISMIS 1988: 60-69 - [c12]S. K. Michael Wong, Yiyu Yao, Peter Bollmann:
Linear Structure in Information Retrieval. SIGIR 1988: 219-232 - 1987
- [j5]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): 299-321 (1987) - [c11]J. H. Wong, S. K. Michael Wong:
An Inductive Learning System - ILS. ISMIS 1987: 370-378 - [c10]S. K. Michael Wong, Yiyu Yao:
A Statistical Similarity Measure. SIGIR 1987: 3-12 - [c9]Peter Bollmann, S. K. Michael Wong:
Adaptive Linear Information Retrieval Models. SIGIR 1987: 157-163 - 1986
- [j4]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): 53-72 (1986) - [j3]Vijay V. Raghavan, S. K. Michael Wong:
A critical analysis of vector space model for information retrieval. J. Am. Soc. Inf. Sci. 37(5): 279-287 (1986) - [j2]S. K. Michael Wong, Wojciech Ziarko:
A Unified Approach for Artificial Intelligence and Information Retrieval. SIGIR Forum 20(1-4): 14-15 (1986) - [j1]S. K. Michael Wong, Wojciech Ziarko:
A Concept-Learning Information Retrieval System - Basic Ideas. SIGIR Forum 20(1-4): 16-17 (1986) - [c8]Vijay V. Raghavan, Lawrence V. Saxton, S. K. Michael Wong, S. S. Ting:
A Unified Architecture for the Integration of Data Base Management and Information Retrieval Systems. IFIP Congress 1986: 1049-1054 - [c7]S. K. Michael Wong, Wojciech Ziarko:
Algebraic versus probabilistic independence in decision theory. ISMIS 1986: 207-212 - [c6]S. K. Michael Wong, Wojciech Ziarko:
On learning and evaluation of decision rules in the context of rough sets. ISMIS 1986: 308-324 - [c5]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: 175-185 - [c4]S. K. Michael Wong, Wojciech Ziarko:
A Machine Learning Approach to Information Retrieval. SIGIR 1986: 228-233 - 1985
- [c3]Wojciech Ziarko, S. K. Michael Wong:
Allocation of Documents in Two Level Memory for Information Retrieval Systems. FODO 1985: 191-198 - [c2]S. K. Michael Wong, Wojciech Ziarko, P. C. N. Wong:
Generalized Vector Space Model in Information Retrieval. SIGIR 1985: 18-25 - 1984
- [c1]S. K. Michael Wong, Vijay V. Raghavan:
Vector Space Model of Information Retrieval - A Reevaluation. SIGIR 1984: 167-185
Coauthor Index
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