| 2011 |
|---|
| 43 | Adaptive Large Margin Training for Multilabel Classification. Yuhong Guo, Dale Schuurmans. AAAI 2011. Web SearchBibTeXDownload |
| 2010 |
|---|
| 42 | Distributed Flow Algorithms for Scalable Similarity Visualization. Novi Quadrianto, Dale Schuurmans, Alex J. Smola. ICDM Workshops 2010, 1220-1227. Web SearchBibTeXDownload |
| 2009 |
|---|
| 41 | A Reformulation of Support Vector Machines for General Confidence Functions. Yuhong Guo, Dale Schuurmans. ACML 2009, 109-119. Web SearchBibTeXDownload |
| 2008 |
|---|
| 40 | Semi-Supervised Convex Training for Dependency Parsing. Qin Iris Wang, Dale Schuurmans, Dekang Lin. ACL 2008, 532-540. Web SearchBibTeXDownload |
| 2007 |
|---|
| 39 | Simple Training of Dependency Parsers via Structured Boosting. Qin Iris Wang, Dekang Lin, Dale Schuurmans. IJCAI 2007, 1756-1762. Web SearchBibTeXDownload |
| 38 | Discriminative Batch Mode Active Learning. Yuhong Guo, Dale Schuurmans. NIPS 2007. Web SearchBibTeXDownload |
| 37 | Convex Relaxations of Latent Variable Training. Yuhong Guo, Dale Schuurmans. NIPS 2007. Web SearchBibTeXDownload |
| 36 | Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. Yuhong Guo, Dale Schuurmans. RECOMB-CG 2007, 83-95. Web SearchBibTeXDownload |
| 2006 |
|---|
| 35 | Robust Support Vector Machine Training via Convex Outlier Ablation. Linli Xu, Koby Crammer, Dale Schuurmans. AAAI 2006. Web SearchBibTeX |
| 34 | Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans. ACL 2006. Web SearchBibTeXDownload |
| 33 | An Online Discriminative Approach to Background Subtraction. Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan. AVSS 2006, 2. Web SearchBibTeXDownload |
| 32 | Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans. ICGI 2006, 97-111. Web SearchBibTeXDownload |
| 31 | implicit Online Learning with Kernels. Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli. NIPS 2006, 249-256. Web SearchBibTeXDownload |
| 30 | Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner. NIPS 2006, 793-800. Web SearchBibTeXDownload |
| 29 | Information Marginalization on Subgraphs. Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans. PKDD 2006, 199-210. Web SearchBibTeXDownload |
| 28 | Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. Yuhong Guo, Dale Schuurmans. UAI 2006. Web SearchBibTeXDownload |
| 2005 |
|---|
| 27 | Variational Bayesian image modelling. Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang. ICML 2005, 129-136. Web SearchBibTeXDownload |
| 26 | Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng. ICML 2005, 948-955. Web SearchBibTeXDownload |
| 25 | Learning Coordination Classifiers. Yuhong Guo, Russell Greiner, Dale Schuurmans. IJCAI 2005, 714-721. Web SearchBibTeXDownload |
| 24 | Combining Statistical Language Models via the Latent Maximum Entropy Principle. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao. Machine Learning (60): 229-250 (2005). Web SearchBibTeXDownload |
| 23 | Maximum Margin Bayesian Networks. Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans. UAI 2005, 233-242. Web SearchBibTeXDownload |
| 2004 |
|---|
| 22 | Learning mixture models with the regularized latent maximum entropy principle. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao. IEEE Transactions on Neural Networks (15): 903-916 (2004). Web SearchBibTeXDownload |
| 21 | Augmenting Naive Bayes Classifiers with Statistical Language Models. Fuchun Peng, Dale Schuurmans, Shaojun Wang. Inf. Retr. (7): 317-345 (2004). Web SearchBibTeXDownload |
| 20 | Dynamic Web log session identification with statistical language models. Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans. JASIST (55): 1290-1303 (2004). Web SearchBibTeXDownload |
| 2003 |
|---|
| 19 | Learning Continuous Latent Variable Models with Bregman Divergences. Shaojun Wang, Dale Schuurmans. ALT 2003, 190-204. Web SearchBibTeXDownload |
| 18 | Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone. Canadian Conference on AI 2003, 237-251. Web SearchBibTeXDownload |
| 17 | Language Independent Authorship Attribution with Character Level N-Grams. Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang. EACL 2003, 267-274. Web SearchBibTeXDownload |
| 16 | Language and Task Independent Text Categorization with Simple Language Models. Fuchun Peng, Dale Schuurmans, Shaojun Wang. HLT-NAACL 2003. Web SearchBibTeXDownload |
| 15 | Learning Mixture Models with the Latent Maximum Entropy Principle. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao. ICML 2003, 784-791. Web SearchBibTeX |
| 14 | Applying Machine Learning to Text Segmentation for Information Retrieval. Xiangji Huang, Fuchun Peng, Dale Schuurmans, Nick Cercone, Stephen E. Robertson. Inf. Retr. (6): 333-362 (2003). Web SearchBibTeXDownload |
| 13 | Text classification in Asian languages without word segmentation. Fuchun Peng, Xiangji Huang, Dale Schuurmans, Shaojun Wang. IRAL 2003, 41-48. Web SearchBibTeXDownload |
| 12 | Boltzmann Machine Learning with the Latent Maximum Entropy Principle. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao. UAI 2003, 567-574. Web SearchBibTeXDownload |
| 2002 |
|---|
| 11 | Greedy Linear Value-Approximation for Factored Markov Decision Processes. Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin. AAAI/IAAI 2002, 285-291. Web SearchBibTeX |
| 10 | Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone. COLING 2002. Web SearchBibTeXDownload |
| 9 | Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. Carlos Guestrin, Relu Patrascu, Dale Schuurmans. ICML 2002, 235-242. Web SearchBibTeX |
| 8 | Using self-supervised word segmentation in Chinese information retrieval. Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone, Stephen E. Robertson. SIGIR 2002, 349-350. Web SearchBibTeXDownload |
| 2001 |
|---|
| 7 | The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming. Dale Schuurmans, Finnegan Southey, Robert C. Holte. IJCAI 2001, 334-341. Web SearchBibTeX |
| 1997 |
|---|
| 6 | Characterizing the generalization performance of model selection strategies. Dale Schuurmans, Lyle H. Ungar, Dean P. Foster. ICML 1997, 340-348. Web SearchBibTeX |
| 5 | Learning Bayesian Nets that Perform Well. Russell Greiner, Adam J. Grove, Dale Schuurmans. UAI 1997, 198-207. Web SearchBibTeXDownload |
| 1995 |
|---|
| 4 | Sequential PAC Learning. Dale Schuurmans, Russell Greiner. COLT 1995, 377-384. Web SearchBibTeXDownload |
| 3 | Practical PAC Learning. Dale Schuurmans, Russell Greiner. IJCAI 1995, 1169-1177. Web SearchBibTeX |
| 1992 |
|---|
| 2 | Learning an Optimally Accurate Representation System. Russell Greiner, Dale Schuurmans. ECAI Workshop on Knowledge Representation and Reasoning 1992, 145-159. Web SearchBibTeXDownload |
| 1 | Learning Useful Horn Approximations. Russell Greiner, Dale Schuurmans. KR 1992, 383-392. Web SearchBibTeX |
