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Shaojun Wang, Cartic Ramakrishnan, Pablo N. Mendes, Amit Sheth. Unsupervised Discovery of Compound Entities for Relationship Extraction. In Unsupervised Discovery of Compound Entities for Relationship Extraction. 2008.  (0 bytes)
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, 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.
Shaojun Wang, Y. Zhao, D. Schuurmans, R. Rosenfeld. The Latent Maximum Entropy Principle. In The Latent Maximum Entropy Principle. 2002.
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.
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.
Shaojun Wang, Meenakshi Nagarajan, Kamal Baid, Amit Sheth. Monetizing User Activity on Social Networks - Challenges and Experiences. In Monetizing User Activity on Social Networks - Challenges and Experiences. 2009.  (0 bytes)
Shaojun Wang, G. Haffari, F. Jiao, Y. Wang, G. Mori. Boosting with Incomplete Information. In Boosting with Incomplete Information. 2008.
Shaojun Wang, Y. Zhao. A Unifed Framework for Recursive Maximum Likelihood Estimation of Hidden Markov Models. In A Unifed Framework for Recursive Maximum Likelihood Estimation of Hidden Markov Models. 1999.
Shaojun Wang, Y. Zhao. On-Line Bayesian Tree-Structured Transformation of Hidden Markov Models for Speaker Adaptation. In On-Line Bayesian Tree-Structured Transformation of Hidden Markov Models for Speaker Adaptation. 1999.
Shaojun Wang, Y. Zhao. On-Line Bayesian Speaker Adaptation By Using Tree-Structured Transformation and Robust Priors. In On-Line Bayesian Speaker Adaptation By Using Tree-Structured Transformation and Robust Priors. 2000.
Shaojun Wang, Y. Zhao. Optimal On-Line Bayesian Model Selection for Speaker Adaptation. In Optimal On-Line Bayesian Model Selection for Speaker Adaptation. 2000.
Shaojun Wang, M. Li, Y. Zhao. On Convergence of Maximum Likelihood Estimation of Binary HMMs by EM Algorithm. In On Convergence of Maximum Likelihood Estimation of Binary HMMs by EM Algorithm. 1998.
Shaojun Wang, Q. Xia, N. Xiang. Probabilistic Production Costing of Hydro and Pumped Storage Units under Chronological Load Curve. 1997 ;.
Shaojun Wang, F. Peng, D. Schuurmans. Language and Task Independent Text Categorization Using Character Level N-Gram Language Models. 2003 ;.
Shaojun Wang, Y. Zhao, R. Rosenfeld. Latent Maximum Entropy Principle for Statistical Language Modeling. In 2001.
Shaojun Wang, Y. Zhao. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. In 2001.
Shaojun Wang, Y. Zhao. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. Elsevier. 2006 ;:2001-2006.