Fuchun Peng, Ph.D.
Affiliations: | 2003 | University of Waterloo, Waterloo, ON, Canada |
Area:
Computer Science, Artificial IntelligenceGoogle:
"Fuchun Peng"Parents
Sign in to add mentorDale Schuurmans | grad student | 2003 | University of Waterloo | |
(Language -independent text learning with statistical n-gram language models.) |
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Publications
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Peng F, McCallum A. (2006) Information extraction from research papers using conditional random fields Information Processing & Management. 42: 963-979 |
Wang S, Schuurmans D, Peng F, et al. (2005) Combining statistical language models via the latent maximum entropy principle Machine Learning. 60: 229-250 |
Wang S, Schuurmans D, Peng F, et al. (2004) Learning mixture models with the regularized latent maximum entropy principle. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 903-16 |
Huang X, Peng F, An A, et al. (2004) Dynamic Web log session identification with statistical language models Journal of the American Society For Information Science and Technology. 55: 1290-1303 |
Peng F, Schuurmans D, Wang S. (2004) Augmenting naive Bayes classifiers with statistical language models Information Retrieval. 7: 317-345 |
Huang X, Peng F, Schuurmans D, et al. (2003) Applying machine learning to text segmentation for information retrieval Information Retrieval. 6: 333-362 |
Huang X, Peng F, An A, et al. (2003) Session boundary detection for association rule learning using n-gram language models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2671: 237-251 |
Peng F, Schuurmans D. (2003) Combining naive Bayes and n-gram language models for text classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2633: 335-350 |
Wang S, Schuurmans D, Peng F, et al. (2003) Semantic N-gram language modeling with the latent maximum entropy principle Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1: 376-379 |
Peng F, Huang X, Schuurmans D, et al. (2002) Using self-supervised word segmentation in Chinese information retrieval Sigir Forum (Acm Special Interest Group On Information Retrieval). 349-350 |