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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, 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, 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.
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, 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.
Shaojun Wang, Y. Zhao. Optimal On-Line Bayesian Model Selection for Speaker Adaptation. In Optimal On-Line Bayesian Model Selection for Speaker Adaptation. 2000.
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.
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, 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.