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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. view
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. PSview
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. view
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. view
5. F. Peng, D. Schuurmans, S. Wang. "Augmenting Naive Bayes Classifiers with Statistical Language Models". Information Retrieval (IR), September 2003. view

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. PSview
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. PDFview
8. F. Peng, D. Schuurmans, S. Wang. "Language and Task Independent Text Categorization With Simple Language Models". HLT-NAACL, May 2003. PDFview
9. F. Peng, D. Schuurmans, S. Wang. "Language independent authorship attribution using character level language models". EACL, April 2003. PSview
10. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Semantic N-Gram Language Modelling With the Latent Maximum Entropy Principle". ICASSP, April 2003. view
11. F. Peng, D. Schuurmans. "Combining Naive Bayes and n-Gram Language Models for Text Classification". ECIR, January 2003. PSview
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. PDFview
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. PDFview
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. PDFview
15. F. Peng, X. Huang, D. Schuurmans, N. Cercone, S. Robertson. "Using Self-Supervised Word Segmentation in Chinese Information Retrieval". SIGIR, January 2002. PDFview
16. F. Peng, D. Schuurmans. "A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling". Natural Language Processing Pacific Rim Symposium, December 2001. PDFview
17. F. Peng, D. Schuurmans. "A Hierarchical EM Approach to Word Segmentation". Natural Language Processing Pacific Rim Symposium, November 2001. PDFview
18. F. Peng, D. Schuurmans. "Self-Supervised Chinese Word Segmentation". International Joint Conference on Artificial Intelligence (IJCAI), September 2001. PDFview
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. view

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. PDFview
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