| 2010 | ||
|---|---|---|
| 11 | Kuo-Chu Chang, Wei Sun: Scalable fusion with mixture distributions in sensor networks. ICARCV 2010: 1251-1256 | |
| 2007 | ||
| 10 | Wei Sun, Kuo-Chu Chang: Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks. AAAI 2007: 1902-1903 | |
| 2002 | ||
| 9 | Shulin Yang, Kuo-Chu Chang: Comparison of score metrics for Bayesian network learning. IEEE Transactions on Systems, Man, and Cybernetics, Part A 32(3): 419-428 (2002) | |
| 1999 | ||
| 8 | Jun Liu, Kuo-Chu Chang, Jing Zhou: Learning Bayesian networks with a hybrid convergent method. IEEE Transactions on Systems, Man, and Cybernetics, Part A 29(5): 436-449 (1999) | |
| 1998 | ||
| 7 | Jun Liu, Kuo-Chu Chang, Jing Zhou: A Hybrid Convergent Method for Learning Probabilistic Networks. Canadian Conference on AI 1998: 393-410 | |
| 1995 | ||
| 6 | Kuo-Chu Chang, Robert M. Fung: Symbolic probabilistic inference with both discrete and continuous variables. IEEE Transactions on Systems, Man, and Cybernetics 25(6): 910-916 (1995) | |
| 1991 | ||
| 5 | Kuo-Chu Chang, Robert M. Fung: Symbolic Probabilistic Inference with Continuous Variables. UAI 1991: 77-81 | |
| 4 | Kuo-Chu Chang, Robert M. Fung: Symbolic Probabilistic Inference with Evidence Potential. UAI 1991: 82-85 | |
| 1990 | ||
| 3 | Kuo-Chu Chang, Robert M. Fung: Refinement and coarsening of Bayesian networks. UAI 1990: 435-446 | |
| 1989 | ||
| 2 | Kuo-Chu Chang, Robert M. Fung: Node Aggregation for Distributed Inference in Bayesian Networks. IJCAI 1989: 265-270 | |
| 1 | Robert M. Fung, Kuo-Chu Chang: Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks. UAI 1989: 209-220 | |
| 1 | Robert M. Fung | [1] [2] [3] [4] [5] [6] |
| 2 | Jun Liu | [7] [8] |
| 3 | Wei Sun | [10] [11] |
| 4 | Shulin Yang | [9] |
| 5 | Jing Zhou | [7] [8] |
Colors in the list of coauthors
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