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All publications by Shaojun Wang
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Direct 0-1 Loss Minimization and Margin Maximization with Boosting
Shaodan Zhai, Tian Xia, Ming Tan and Shaojun Wang
Advances in Neural Information Processing Systems 26, 2013


A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Yang Wang, Gholamreza Haffari, Shaojun Wang and Greg Mori
Advances in Neural Information Processing Systems 22, 2009


Boosting with incomplete information
Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori and Feng Jiao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Using query-specific variance estimates to combine Bayesian classifiers
Chi-hoon Lee, Russell Greiner and Shaojun Wang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
Chi-hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans and Russell Greiner
Advances in Neural Information Processing Systems 19, 2006


implicit Online Learning with Kernels
Li Cheng, Dale Schuurmans, Shaojun Wang, Terry Caelli and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans and Li Cheng
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Variational Bayesian image modelling
Li Cheng, Feng Jiao, Dale Schuurmans and Shaojun Wang
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Learning Mixture Models with the Latent Maximum Entropy Principle
Shaojun Wang, Dale Schuurmans, Fuchun Peng and Yunxin Zhao
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003