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Conference Paper
Y. Zhao, Shaojun Wang, D. Schuurmans, F. Peng. Boltzmann Machine Learning with the Latent Maximum Entropy Principle. In Boltzmann Machine Learning with the Latent Maximum Entropy Principle. 2003.
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng. Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields. In International Symposium on Chinese Spoken Language Processing (ISCSLP). Singapore, Singapore; 2004.
L. Cheng, D. Schuurmans, R. Greiner, Shaojun Wang, Shaojun Wang. Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields. In Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields. 2005.
F. Peng, Shaojun Wang, D. Schuurmans. Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. In Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. 2003.
F. Peng, Shaojun Wang, D. Schuurmans. Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. In 2003.
Shaojun Wang, Y. Zhao, D. Schuurmans, R. Rosenfeld. The Latent Maximum Entropy Principle. In The Latent Maximum Entropy Principle. 2002.
Shaojun Wang, D. Schuurmans. Learning Continuous Latent Variable Models with Bregman Divergences. In Learning Continuous Latent Variable Models with Bregman Divergences. 2003.
Shaojun Wang, D. Schuurmans. Learning Latent Variable Models with Bregman Divergences. In Learning Latent Variable Models with Bregman Divergences. 2003.
Y. Zhao, Shaojun Wang, F. Peng, D. Schuurmans. Learning Mixture Models with the Latent Maximum Entropy Principle. In Learning Mixture Models with the Latent Maximum Entropy Principle. 2003.
S. Vishwanathan, T. Caelli, L. Cheng, D. Schuurmans, Shaojun Wang. An Online Discriminative Approach to Background Subtraction. In An Online Discriminative Approach to Background Subtraction. 2006.
D. Schuurmans, F. Peng, Y. Zhao, Shaojun Wang. Semantic N-gram Language Modeling with the Latent Maximum Entropy Principle. In Semantic N-gram Language Modeling with the Latent Maximum Entropy Principle. 2003.
Shaojun Wang, R. Greiner, F. Jiao, D. Schuurmans, C. Lee. Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. In Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. 2006.
Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans. Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. In 8th International Colloquium on Grammatical Inference (ICGI). Tokyo, Japan; 2006.
D. Schuurmans, Shaojun Wang, F. Peng, X. Huang. Text Classification in Asian Languages Without Word Segmentation. In Text Classification in Asian Languages Without Word Segmentation. 2003.
F. Jiao, Shaojun Wang, D. Schuurmans, L. Cheng. Variational Bayesian Image Modelling. In Variational Bayesian Image Modelling. 2005.