Library

Export 53 results:
Filters: Author is Shaojun Wang  [Clear All Filters]
Conference Paper
Y. Zhao, Shaojun Wang. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. In Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. 2001.  (0 bytes)
Shaojun Wang, Y. Zhao. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. In 2001.
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, G. Haffari, F. Jiao, Y. Wang, G. Mori. Boosting with Incomplete Information. In Boosting with Incomplete Information. 2008.
C. Lee, Shaojun Wang, M. Brown, A. Murtha, R. Greiner. Constrained Classification on Structured Data. In Constrained Classification on Structured Data. 2008.
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.
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.
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.
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
Lei Zheng, Yan Liu, Shaojun Wang. Information Theoretic Regularization for Semi-Supervised Boosting. In Knowledge Discovery and Data Mining - KDD2009. Paris, France; 2009.  (369.35 KB)
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, Y. Zhao, R. Rosenfeld. Latent Maximum Entropy Principle for Statistical Language Modeling. In 2001.
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.
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)
Meenakshi Nagarajan, Kamal Baid, Amit Sheth, Shaojun Wang. Monetizing User Activity on Social Networks - Challenges and Experiences. In Beyond Search: Semantic Computing and Internet Economics 2009 Workshop; 2009.  (10.6 MB)
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. 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.
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.
Shaojun Wang, Y. Zhao. Optimal On-Line Bayesian Model Selection for Speaker Adaptation. In Optimal On-Line Bayesian Model Selection for Speaker Adaptation. 2000.
V. Winter, Shaojun Wang, J. Beck, J. Mostow, B. Tobin. Predicting Oral Reading Miscues. In Predicting Oral Reading Miscues. 2002.
G. Haffari, Y. Wang, Shaojun Wang, G. Mori. A Rate Distortion Approach for Semi-Supervised Conditional Random Fields. In Advances in Neural Information Processing Systems; 2010.
K. Yen, Shaojun Wang, Y. Zhao. Recursive Estimation of Time-Varying Environments for Robust Speech Recognition. In Recursive Estimation of Time-Varying Environments for Robust Speech Recognition. 2001.
M. Brown, A. Murtha, C. Lee, Shaojun Wang, R. Greiner. Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. In Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. 2008.
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.
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, 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)
R. Greiner, Shaojun Wang, C. Lee. Using Query-Speci_c Variance Estimates to Combine Bayesian Classi_ers. In Using Query-Speci_c Variance Estimates to Combine Bayesian Classi_ers. 2006.
F. Jiao, Shaojun Wang, D. Schuurmans, L. Cheng. Variational Bayesian Image Modelling. In Variational Bayesian Image Modelling. 2005.
Journal Article
Y. Zhao, Shaojun Wang. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. Statistics & Probability Letters. 2006 ;:2001-1006.  (144.38 KB)
Shaojun Wang, Y. Zhao. Almost Sure Convergence of Titterington's Recursive Estimator for Finite Mixture Models. Elsevier. 2006 ;:2001-2006.
F. Peng, Shaojun Wang, D. Schuurmans. Augmenting Naive Bayes Text Classi_er Using Statistical N-Gram Language Modeling. 2004 ;.
F. Peng, Y. Zhao, Shaojun Wang, D. Schuurmans. Combining Statistical Language Models via the Latent Maximum Entropy Principle. 2005 ;.  (0 bytes)
Wenbo Wang, Lu Chen, Ming Tan, Shaojun Wang, Amit Sheth. Discovering Fine-grained Sentiment in Suicide Notes. Book: Biomedical Informatics Insights. 2012 ;:137-145.  (234.32 KB)
L. Cheng, S. Vishwanathan, D. Schuurmans, Shaojun Wang, Terry Caelli. Implicit Online Learning with Kernels. 2007 ;.  (495.36 KB)
Shaojun Wang, F. Peng, D. Schuurmans. Language and Task Independent Text Categorization Using Character Level N-Gram Language Models. 2003 ;.
D. Schuurmans, F. Peng, Y. Zhao, Shaojun Wang. Learning Mixture Models with the Regularized Latent Maximum Entropy Principle. 2004 ;.  (0 bytes)
F. Jiao, D. Schuurmans, R. Greiner, C. Lee, Shaojun Wang. Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. 2007 ;.
Y. Zhao, Shaojun Wang. On-Line Bayesian Tree-Structured Transformation of HMMs with Optimal Model Selection for Speaker Adaptation. 2001 ;.  (0 bytes)
S. Shahidehpour, Shaojun Wang, N. Xiang. Probabilistic Marginal Cost Curve and Its Applications. 1995 ;.  (0 bytes)
Shaojun Wang, Q. Xia, N. Xiang. Probabilistic Production Costing of Hydro and Pumped Storage Units under Chronological Load Curve. 1997 ;.
N. Xiang, Q. Xia, Shaojun Wang. Probabilistic Production Costing under Chronological Load Curve. 1994 ;.
S. Shahidehpour, Shaojun Wang, S. Mokhtari, D. Kirschen, G. Irisarri. Short-Term Generation Scheduling with Transmission and Environmental Constraints Using an Augmented Lagrangian Relaxation. 1995 ;.  (0 bytes)

Pages