| 1998 (forthcoming) |
M. Chen and D. Park. "Bayesian Structure Learning in Sparse Domains with Structural Priors." To appear in Proceedings of AAAI-98. Madison, WI.
[Preprint (PostScript, 340KB)]
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S. Mitchell and M. Chen. "Penalty Logic Networks: Embedding First-Order Constraints in Feedforward Architectures." Submitted to Machine Learning Journal.
[Draft available on request]
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| 1997 |
M. Chen, K. Takahashi, and R. Gupta. "Efficient Knowledge Compilation via DNNF for Online Planning." Proceedings of IJCAI-97, pp. 412-418. Nagoya, Japan.
[PostScript] [BibTeX]
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M. Chen and A. Soares. "Statistical Pruning for Inductive Logic Programming: Avoiding Overfitting in Relational Domains." Proceedings of ILP-97, pp. 89-104. Prague, Czech Republic.
[PostScript] [BibTeX]
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R. Gupta and M. Chen. "Anytime Algorithms for Bayesian Network Inference." Proceedings of UAI-97, pp. 190-198. Providence, RI.
[PostScript] [BibTeX]
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| 1996 |
M. Chen. "Learning Bayesian Networks from Incomplete Data: An Efficient Structural EM Approach." Proceedings of AAAI-96, pp. 756-762. Portland, OR.
[PostScript] [BibTeX]
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M. Chen and P. Winston. "Knowledge-Guided Neural Network Learning: Integrating Symbolic and Sub-Symbolic AI." Artificial Intelligence, 84(1-2):245-276.
[Author's PostScript]
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| 1995 and earlier |
M. Chen. "Towards a Unified Framework for Symbolic and Statistical Learning." Invited talk, IJCAI-95, Montreal, Canada.
[Extended abstract (PostScript)]
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M. Chen. "Structured Priors for Bayesian Network Learning." Ph.D. Thesis, MIT, 1993.
[Full text (PostScript, 2.1MB)]
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M. Chen and P. Winston. "Combining Neural and Symbolic Approaches to Learning." Proceedings of AAAI-92, pp. 610-616. San Jose, CA.
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