Publications by Peng, Fuchun
In Journal (refereed)
1. | S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Combining Statistical Language Models Via the Latent Maximum Entropy Principle". Machine Learning Journal (MLJ), 60(1-3), pp 229-250, September 2005. |
2. | S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Learning mixture models with the regularized maximum entropy principle". IEEE Transactions on Neural Networks, 15(4), pp 903-916, January 2005. |
3. | X. Huang, F. Peng, A. An, D. Schuurmans. "Dynamic Web Log Session Identification With Statistical Language Models". Journal of the American Society for Information Science and Technology (JASTIS), 55(14), pp 1290-1303, December 2004. |
4. | X. Huang, F. Peng, D. Schuurmans, N. Cercone, S. Robertson. "Applying Machine Learning to Text Segmentation for Information Retrieval". Information Retrieval (IR), 6(3), pp 333-362, September 2003. |
5. | F. Peng, D. Schuurmans, S. Wang. "Augmenting Naive Bayes Classifiers with Statistical Language Models". Information Retrieval (IR), September 2003. |
In Conference (refereed)
6. | S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Boltzmann Machine Learning With the Latent Maximum Entropy Principle". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003. |
7. | S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Learning mixture models with the regularized latent maximum entropy principle". International Conference on Machine Learning (ICML), Washington, DC USA, August 2003. |
8. | F. Peng, D. Schuurmans, S. Wang. "Language and Task Independent Text Categorization With Simple Language Models". HLT-NAACL, May 2003. |
9. | F. Peng, D. Schuurmans, S. Wang. "Language independent authorship attribution using character level language models". EACL, April 2003. |
10. | S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Semantic N-Gram Language Modelling With the Latent Maximum Entropy Principle". ICASSP, April 2003. |
11. | F. Peng, D. Schuurmans. "Combining Naive Bayes and n-Gram Language Models for Text Classification". ECIR, January 2003. |
12. | S. Wang, D. Schuurmans, F. Peng. "Latent Maximum Entropy Approach for Semantic N-Gram Language Modeling". International Workshop on Artificial Intelligence and Statistics (AISTATS), January 2003. |
13. | X. Huang, F. Peng, A. An, D. Schuurmans, N. Cercone. "Session Boundary Detection for Association Rule Learning Using n-Gram Language Models". Canadian Conference on Artificial Intelligence (CAI), Halifax, Nova Scotia, Canada, January 2003. |
14. | F. Peng, X. Huang, D. Schuurmans, N. Cercone. "Investigating the Relationship Between Word Segmentation Performance and Retrieval Performance in Chinese IR". Conference on Computational Linguistics (COLING), Taipei, August 2002. |
15. | F. Peng, X. Huang, D. Schuurmans, N. Cercone, S. Robertson. "Using Self-Supervised Word Segmentation in Chinese Information Retrieval". SIGIR, January 2002. |
16. | F. Peng, D. Schuurmans. "A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling". Natural Language Processing Pacific Rim Symposium, December 2001. |
17. | F. Peng, D. Schuurmans. "A Hierarchical EM Approach to Word Segmentation". Natural Language Processing Pacific Rim Symposium, November 2001. |
18. | F. Peng, D. Schuurmans. "Self-Supervised Chinese Word Segmentation". International Joint Conference on Artificial Intelligence (IJCAI), September 2001. |
19. | R. Holte, F. Peng, R. Zimmer, A. MacDonald. "Hierarchical A*: Searching Abstraction Hierarchies Efficiently". National Conference on Artificial Intelligence (AAAI), Portland, Oregon, January 1996. |
In Workshop
20. | F. Peng, X. Huang, D. Schuurmans, S. Wang. "Text classification in Asian languages without word segmentation". International Workshop on Information Retrieval with Asian Languages, June 2007. |