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S. K. Michael Wong Vis

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*2008
87EEYan 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
86EEYan Zhao, Feng Luo, S. K. Michael Wong, Yiyu Yao: A General Definition of an Attribute Reduct. RSKT 2007: 101-108
2005
85 Dan Wu, S. K. Michael Wong: Maximal Prime Subgraph Decomposition of Bayesian Networks: A Relational Database Perspective. FLAIRS Conference 2005: 793-798
2004
84 S. K. Michael Wong, Tao Lin: Computing Marginals with Hierarchical Acyclic Hypergraphs. FLAIRS Conference 2004
83 Dan Wu, S. K. Michael Wong: Local Propagation in Bayesian networks Versus Semi-Join Program in Databases. FLAIRS Conference 2004
82EEDan Wu, S. K. Michael Wong: The marginal factorization of Bayesian networks and its application. Int. J. Intell. Syst. 19(8): 769-786 (2004)
2003
81EECory J. Butz, S. K. Michael Wong, Dan Wu: A New Inference Axiom for Probabilistic Conditional Independence. Canadian Conference on AI 2003: 568-574
80EES. K. Michael Wong, Dan Wu, Cory J. Butz: Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach. Canadian Conference on AI 2003: 583-590
79 S. K. Michael Wong, Dan Wu: A Simple Method for Identifying Compelled Edges in DAGs. FLAIRS Conference 2003: 516-520
78EES. K. Michael Wong, Dan Wu, Yiyu Yao: Critical Remarks on the Computational Complexity in Probabilistic Inference. RSFDGrC 2003: 676-681
77EES. K. Michael Wong, Dan Wu: A Common Framework for Rough Sets, Databases, and Bayesian Networks. RSFDGrC 2003: 99-103
76EES. K. Michael Wong, Tao Lin: An alternative characterization of a Bayesian network. Int. J. Approx. Reasoning 33(3): 221-234 (2003)
2002
75EES. K. Michael Wong, Tao Lin, Dan Wu: Construction of a Bayesian DAG from Conditional Independencies. AMAI 2002
74EES. K. Michael Wong, Dan Wu, Tao Lin: A Structural Characterization of DAG-Isomorphic Dependency Models. Canadian Conference on AI 2002: 195-209
73EES. K. Michael Wong, Tao Lin, Dan Wu: Construction of a Non-redundant Cover for Conditional Independencies. Canadian Conference on AI 2002: 210-220
72 S. K. Michael Wong, Tao Lin: Conflict Resolution in Probabilistic Multi-Agent Systems. FLAIRS Conference 2002: 529-533
71 S. K. Michael Wong, Dan Wu: Identifying Compelled Edges in a DAG - A Constraint Satisfaction Problem. IC-AI 2002: 993-
70 S. K. Michael Wong, Dan Wu: An Algebraic Characterization of Equivalent Bayesian Networks. Intelligent Information Processing 2002: 177-187
69EES. 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
68EES. 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)
67 S. K. Michael Wong: The Relational Structure of Belief Networks. J. Intell. Inf. Syst. 16(2): 117-148 (2001)
2000
66EES. K. Michael Wong, Cory J. Butz: A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS 2000: 247-255
65EES. K. Michael Wong, Cory J. Butz: Rough Sets for Uncertainty Reasoning. Rough Sets and Current Trends in Computing 2000: 511-518
64 S. K. Michael Wong, Cory J. Butz, Dan Wu: On the implication problem for probabilistic conditional independency. IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(6): 785-805 (2000)
1999
63EECory J. Butz, S. K. Michael Wong: Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS 1999: 302-310
62EEYiyu Yao, S. K. Michael Wong, Cory J. Butz: On Information-Theoretic Measures of Attribute Importance. PAKDD 1999: 133-137
61EES. K. Michael Wong, Cory J. Butz: Contextual Weak Independence in Bayesian Networks. UAI 1999: 670-679
1998
60 S. K. Michael Wong, Cory J. Butz: Probabilistic Reasoning in a Distributed Multi-Agent Environment. ICMAS 1998: 341-348
59EES. 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
58 S. K. Michael Wong, Cory J. Butz, Yang Xiang: Automated Database Schema Design Using Mined Data Dependencies. JASIS 49(5): 455-470 (1998)
1997
57EEYiyu Yao, S. K. Michael Wong: Interval Approaches for Uncertain Reasoning. ISMIS 1997: 381-390
56 S. K. Michael Wong: An Extended Relational Data Model for Probabilistic Reasoning. J. Intell. Inf. Syst. 9(2): 181-202 (1997)
55 Yang Xiang, S. K. Michael Wong, Nick Cercone: A ``Microscopic'' Study of Minimum Entropy Search in Learning Decomposable Markov Networks. Machine Learning 26(1): 65-92 (1997)
1996
54EES. K. Michael Wong: Testing Implication of Probabilistic Dependencies. UAI 1996: 545-553
53EEYang Xiang, S. K. Michael Wong, Nick Cercone: Critical Remarks on Single Link Search in Learning Belief Networks. UAI 1996: 564-571
52 Lusheng Wang, S. K. Michael Wong, Yiyu Yao: On the Completeness of Incidence Calculus. J. Autom. Reasoning 16(3): 355-368 (1996)
1995
51EES. K. Michael Wong, Cory J. Butz, Yang Xiang: A Method for Implementing a Probabilistic Model as a Relational Database. UAI 1995: 556-564
50EES. K. Michael Wong, Yiyu Yao: On Modeling Information Retrieval with Probabilistic Inference. ACM Trans. Inf. Syst. 13(1): 38-68 (1995)
49 S. K. Michael Wong, Lusheng Wang, Yiyu Yao: On Modeling Uncertainty with Interval Structures. Computational Intelligence 11: 406-426 (1995)
48 Yang Xiang, S. K. Michael Wong, Nick Cercone: Quantification of Unvertainty in Classification Rules Discovered from Databases. Computational Intelligence 11: 427-441 (1995)
1994
47 S. K. Michael Wong, Yang Xiang, Xiaopin Nie: Representation of Bayesian Networks as Relational Databases. IPMU 1994: 117-130
46EEZhiwei Wang, S. K. Michael Wong: A Global Measure of Ambiguity for Classification. ISMIS 1994: 105-113
45EES. K. Michael Wong, Zhiwei Wang: On Axiomatization of Probabilistic Conditional Independencies. UAI 1994: 591-597
44EES. K. Michael Wong, Pawan Lingras: Representation of Qualitative User Preference by Quantitative Belief Functions. IEEE Trans. Knowl. Data Eng. 6(1): 72-78 (1994)
1993
43EEC. W. R. Chau, Pawan Lingras, S. K. Michael Wong: Upper and Lower Entropies of Belief Functions Using Compatible Probability Functions. ISMIS 1993: 306-315
42 S. K. Michael Wong, Xiaopin Nie: Rough Sets: A Special Case of Interval Structures. RSKD 1993: 217-226
41 Michael Hadjimichael, S. K. Michael Wong: Ruzzy Representations in Rough Set Approximations. RSKD 1993: 349-356
40 Yang Xiang, S. K. Michael Wong, Nick Cercone: Quantifying Uncertainty of Knowledge Discovered From Databases. RSKD 1993: 63-73
39EES. K. Michael Wong, Y. J. Cai, Yiyu Yao: Computation of Term Associations by a Neural Network. SIGIR 1993: 107-115
38EES. K. Michael Wong, Zhiwei Wang: Qualitative Measures of Ambiguity. UAI 1993: 443-452
37 S. K. Michael Wong, Yiyu Yao: A Probabilistic Method for Computing Term-by-Term Relationships. JASIS 44(8): 431-439 (1993)
1992
36 S. K. Michael Wong, Lusheng Wang, Yiyu Yao: Non-Numeric Belief Structures. ICCI 1992: 274-277
35EEZhiwei Wang, S. K. Michael Wong, Yiyu Yao: An Analysis of Vector Space Models Based on Computational Geometry. SIGIR 1992: 152-160
34EES. K. Michael Wong, Lusheng Wang, Yiyu Yao: Interval Structure: A Framework for Representing Uncertain Information. UAI 1992: 336-343
33EES. 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)
32 S. K. Michael Wong, Yiyu Yao, Peter Bollmann: Characterization of Comparative Belief Structures. International Journal of Man-Machine Studies 37(1): 123-133 (1992)
31 Yiyu Yao, S. K. Michael Wong: A Decision Theoretic Framework for Approximating Concepts. International Journal of Man-Machine Studies 37(6): 793-809 (1992)
30 S. K. Michael Wong, Yiyu Yao: An Information-Theoretic Measure of Term Specificity. JASIS 43(1): 54-61 (1992)
1991
29 S. K. Michael Wong, Pawan Lingras, Yiyu Yao: Propagation of Preference Relations in Qualitative Inference Networks. IJCAI 1991: 1204-1209
28EES. K. Michael Wong, Pawan Lingras, Yiyu Yao: Towards Implementing Valuation Based Systems with Relational Databases. ISMIS 1991: 172-182
27EEYiyu Yao, S. K. Michael Wong: Preference Structure, Inference and Set-Oriented Retrieval. SIGIR 1991: 211-218
26EES. K. Michael Wong, Yiyu Yao, Pawan Lingras: Compatibility of Quantitative and Qualitative Representations of Belief. UAI 1991: 418-424
25 S. K. Michael Wong, Yiyu Yao: A probabilistic inference model for information retrieval. Inf. Syst. 16(3): 301-321 (1991)
24 S. K. Michael Wong, Yiyu Yao, Gerard Salton, Chris Buckley: Evaluation of an adaptive linear model. JASIS 42(10): 723-730 (1991)
1990
23 Pawan Lingras, S. K. Michael Wong: Two Perspectives of the Dempster-Shafer Theory of Belief Functions. International Journal of Man-Machine Studies 33(4): 467-487 (1990)
22 S. K. Michael Wong, Yiyu Yao: A generalized binary probabilistic independence model. JASIS 41(5): 324-329 (1990)
21 S. K. Michael Wong, Yiyu Yao: Query formulation in linear retrieval models. JASIS 41(5): 334-341 (1990)
1989
20EES. 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)
19 S. J. Wan, S. K. Michael Wong: An Adaptive Algorithm for Finding a Covering Hypersphere. Inf. Process. Lett. 33(1): 7-10 (1989)
18EES. K. Michael Wong, Yiyu Yao: A probability distribution model for information retrieval. Inf. Process. Manage. 25(1): 39-53 (1989)
17 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)
1988
16 Pawan Lingras, S. K. Michael Wong: An Optimistic Rule for Accumulation of Evidence. ISMIS 1988: 60-69
15EES. K. Michael Wong, Yiyu Yao, Peter Bollmann: Linear Structure in Information Retrieval. SIGIR 1988: 219-232
14 Zdzislaw Pawlak, S. K. Michael Wong, Wojciech Ziarko: Rough Sets: Probabilistic versus Deterministic Approach. International Journal of Man-Machine Studies 29(1): 81-95 (1988)
1987
13 J. H. Wong, S. K. Michael Wong: An Inductive Learning System - ILS. ISMIS 1987: 370-378
12EEPeter Bollmann, S. K. Michael Wong: Adaptive Linear Information Retrieval Models. SIGIR 1987: 157-163
11EES. K. Michael Wong, Yiyu Yao: A Statistical Similarity Measure. SIGIR 1987: 3-12
10EES. 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)
1986
9 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
8EES. 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
7EES. K. Michael Wong, Wojciech Ziarko: A Machine Learning Approach to Information Retrieval. SIGIR 1986: 228-233
6 S. K. Michael Wong, Wojciech Ziarko, R. Li Ye: Comparison of Rough-Set and Statistical Methods in Inductive Learning. International Journal of Man-Machine Studies 25(1): 53-72 (1986)
5EES. K. Michael Wong, Wojciech Ziarko: A Unified Approach for Artificial Intelligence and Information Retrieval. SIGIR Forum 20(1-4): 14-15 (1986)
4EES. K. Michael Wong, Wojciech Ziarko: A Concept-Learning Information Retrieval System - Basic Ideas. SIGIR Forum 20(1-4): 16-17 (1986)
1985
3 Wojciech Ziarko, S. K. Michael Wong: Allocation of Documents in Two Level Memory for Information Retrieval Systems. FODO 1985: 191-198
2 S. K. Michael Wong, Wojciech Ziarko, P. C. N. Wong: Generalized Vector Space Model in Information Retrieval. SIGIR 1985: 18-25
1984
1 S. K. Michael Wong, Vijay V. Raghavan: Vector Space Model of Information Retrieval - A Reevaluation. SIGIR 1984: 167-185

Coauthor Index

1Peter Bollmann-Sdorra (Peter Bollmann) [12] [15] [32]
2Chris Buckley [24]
3Cory J. Butz [51] [58] [59] [60] [61] [62] [63] [64] [65] [66] [68] [69] [80] [81]
4Y. J. Cai [39]
5Nick Cercone [40] [48] [53] [55]
6C. W. R. Chau [43]
7Michael Hadjimichael [41]
8Tao Lin [72] [73] [74] [75] [76] [84]
9Pawan Lingras [16] [23] [26] [28] [29] [43] [44]
10Feng Luo [86]
11Xiaopin Nie [42] [47]
12Zdzislaw Pawlak [14]
13F. C. S. Poon [20]
14Vijay V. Raghavan (Vijay Raghavan) [1] [8] [9] [10] [17]
15Gerard Salton [24]
16Lawrence V. Saxton [9]
17S. S. Ting [9]
18S. J. Wan [19] [33]
19Lusheng Wang [34] [36] [49] [52]
20Zhiwei Wang [35] [38] [45] [46]
21J. H. Wong [13]
22P. C. N. Wong [2] [8] [10] [17]
23Dan Wu [64] [69] [70] [71] [73] [74] [75] [77] [78] [79] [80] [81] [82] [83] [85]
24Yang Xiang [40] [47] [48] [51] [53] [55] [58]
25Yiyu Yao (Y. Y. Yao) [11] [15] [18] [21] [22] [24] [25] [26] [27] [28] [29] [30] [31] [32] [34] [35] [36] [37] [39] [49] [50] [52] [57] [62] [78] [86] [87]
26R. Li Ye [6]
27Yan Zhao [86] [87]
28Wojciech Ziarko [2] [3] [4] [5] [6] [7] [8] [10] [14] [17]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)