2008 | ||
---|---|---|
87 | EE | 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 | ||
86 | EE | Yan 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 | |
82 | EE | Dan Wu, S. K. Michael Wong: The marginal factorization of Bayesian networks and its application. Int. J. Intell. Syst. 19(8): 769-786 (2004) |
2003 | ||
81 | EE | Cory J. Butz, S. K. Michael Wong, Dan Wu: A New Inference Axiom for Probabilistic Conditional Independence. Canadian Conference on AI 2003: 568-574 |
80 | EE | S. 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 | |
78 | EE | S. K. Michael Wong, Dan Wu, Yiyu Yao: Critical Remarks on the Computational Complexity in Probabilistic Inference. RSFDGrC 2003: 676-681 |
77 | EE | S. K. Michael Wong, Dan Wu: A Common Framework for Rough Sets, Databases, and Bayesian Networks. RSFDGrC 2003: 99-103 |
76 | EE | S. K. Michael Wong, Tao Lin: An alternative characterization of a Bayesian network. Int. J. Approx. Reasoning 33(3): 221-234 (2003) |
2002 | ||
75 | EE | S. K. Michael Wong, Tao Lin, Dan Wu: Construction of a Bayesian DAG from Conditional Independencies. AMAI 2002 |
74 | EE | S. K. Michael Wong, Dan Wu, Tao Lin: A Structural Characterization of DAG-Isomorphic Dependency Models. Canadian Conference on AI 2002: 195-209 |
73 | EE | S. 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 | |
69 | EE | 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 | ||
68 | EE | 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) |
67 | S. K. Michael Wong: The Relational Structure of Belief Networks. J. Intell. Inf. Syst. 16(2): 117-148 (2001) | |
2000 | ||
66 | EE | S. K. Michael Wong, Cory J. Butz: A Comparative Study of Noncontextual and Contextual Dependencies. ISMIS 2000: 247-255 |
65 | EE | S. 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 | ||
63 | EE | Cory J. Butz, S. K. Michael Wong: Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems. IDEAS 1999: 302-310 |
62 | EE | Yiyu Yao, S. K. Michael Wong, Cory J. Butz: On Information-Theoretic Measures of Attribute Importance. PAKDD 1999: 133-137 |
61 | EE | S. 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 | |
59 | EE | 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 |
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 | ||
57 | Yiyu 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 | ||
54 | EE | S. K. Michael Wong: Testing Implication of Probabilistic Dependencies. UAI 1996: 545-553 |
53 | EE | Yang 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 | ||
51 | EE | S. K. Michael Wong, Cory J. Butz, Yang Xiang: A Method for Implementing a Probabilistic Model as a Relational Database. UAI 1995: 556-564 |
50 | EE | S. 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 | |
46 | Zhiwei Wang, S. K. Michael Wong: A Global Measure of Ambiguity for Classification. ISMIS 1994: 105-113 | |
45 | EE | S. K. Michael Wong, Zhiwei Wang: On Axiomatization of Probabilistic Conditional Independencies. UAI 1994: 591-597 |
44 | EE | 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) |
1993 | ||
43 | 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 | |
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 | |
39 | EE | S. K. Michael Wong, Y. J. Cai, Yiyu Yao: Computation of Term Associations by a Neural Network. SIGIR 1993: 107-115 |
38 | EE | S. 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 | |
35 | EE | Zhiwei Wang, S. K. Michael Wong, Yiyu Yao: An Analysis of Vector Space Models Based on Computational Geometry. SIGIR 1992: 152-160 |
34 | EE | S. K. Michael Wong, Lusheng Wang, Yiyu Yao: Interval Structure: A Framework for Representing Uncertain Information. UAI 1992: 336-343 |
33 | EE | 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) |
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 | |
28 | S. K. Michael Wong, Pawan Lingras, Yiyu Yao: Towards Implementing Valuation Based Systems with Relational Databases. ISMIS 1991: 172-182 | |
27 | EE | Yiyu Yao, S. K. Michael Wong: Preference Structure, Inference and Set-Oriented Retrieval. SIGIR 1991: 211-218 |
26 | EE | S. 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 | ||
20 | EE | 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) |
19 | S. J. Wan, S. K. Michael Wong: An Adaptive Algorithm for Finding a Covering Hypersphere. Inf. Process. Lett. 33(1): 7-10 (1989) | |
18 | EE | S. 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 | |
15 | EE | S. 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 | |
12 | EE | Peter Bollmann, S. K. Michael Wong: Adaptive Linear Information Retrieval Models. SIGIR 1987: 157-163 |
11 | EE | S. K. Michael Wong, Yiyu Yao: A Statistical Similarity Measure. SIGIR 1987: 3-12 |
10 | EE | 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) |
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 | |
8 | EE | 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 |
7 | EE | S. 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) | |
5 | EE | S. K. Michael Wong, Wojciech Ziarko: A Unified Approach for Artificial Intelligence and Information Retrieval. SIGIR Forum 20(1-4): 14-15 (1986) |
4 | EE | S. 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 |