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F. Jiao, D. Schuurmans, R. Greiner, C. Lee, Shaojun Wang. Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. 2007 ;.
D. Schuurmans, F. Peng, Y. Zhao, Shaojun Wang. Learning Mixture Models with the Regularized Latent Maximum Entropy Principle. 2004 ;.  (0 bytes)
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.
Shaojun Wang, D. Schuurmans. Learning Latent Variable Models with Bregman Divergences. In Learning Latent Variable Models with Bregman Divergences. 2003.
Shaojun Wang, D. Schuurmans. Learning Continuous Latent Variable Models with Bregman Divergences. In Learning Continuous Latent Variable Models with Bregman Divergences. 2003.
Shaojun Wang, Y. Zhao, D. Schuurmans, R. Rosenfeld. The Latent Maximum Entropy Principle. In The Latent Maximum Entropy Principle. 2002.
F. Peng, Shaojun Wang, D. Schuurmans. Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. In 2003.
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.
Shaojun Wang, F. Peng, D. Schuurmans. Language and Task Independent Text Categorization Using Character Level N-Gram Language Models. 2003 ;.