Dale Schuurmans
Dale Schuurmans
Research Scientist, Google Brain / Professor, University of Alberta
Verified email at cs.ualberta.ca - Homepage
TitleCited byYear
Maximum margin clustering
L Xu, J Neufeld, B Larson, D Schuurmans
Advances in neural information processing systems, 1537-1544, 2005
Advances in large margin classifiers
AJ Smola, PJ Bartlett, D Schuurmans, B Schölkopf, MI Jordan
MIT press, 2000
Boosting in the limit: Maximizing the margin of learned ensembles
AJ Grove, D Schuurmans
AAAI/IAAI, 692-699, 1998
Augmenting naive bayes classifiers with statistical language models
F Peng, D Schuurmans, S Wang
Information Retrieval 7 (3-4), 317-345, 2004
Discriminative batch mode active learning
Y Guo, D Schuurmans
Advances in neural information processing systems, 593-600, 2008
Automatic Gait Optimization with Gaussian Process Regression.
DJ Lizotte, T Wang, MH Bowling, D Schuurmans
IJCAI 7, 944-949, 2007
Combining naive Bayes and n-gram language models for text classification
F Peng, D Schuurmans
European Conference on Information Retrieval, 335-350, 2003
Unsupervised and semi-supervised multi-class support vector machines
L Xu, D Schuurmans
AAAI 5, 13, 2005
Language independent authorship attribution using character level language models
F Peng, D Schuurmans, S Wang, V Keselj
Proceedings of the tenth conference on European chapter of the Association …, 2003
Robust support vector machine training via convex outlier ablation
L Xu, K Crammer, D Schuurmans
AAAI 6, 536-542, 2006
Graphical models and point pattern matching
TS Caetano, T Caelli, D Schuurmans, DAC Barone
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (10), 1646 …, 2006
Semi-supervised conditional random fields for improved sequence segmentation and labeling
F Jiao, S Wang, CH Lee, R Greiner, D Schuurmans
Proceedings of the 21st International Conference on Computational …, 2006
Local search characteristics of incomplete SAT procedures
D Schuurmans, F Southey
Artificial Intelligence 132 (2), 121-150, 2001
Constraint-based optimization and utility elicitation using the minimax decision criterion
C Boutilier, R Patrascu, P Poupart, D Schuurmans
Artificial Intelligence 170 (8-9), 686-713, 2006
Face alignment using statistical models and wavelet features
F Jiao, S Li, HY Shum, D Schuurmans
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
General convergence results for linear discriminant updates
AJ Grove, N Littlestone, D Schuurmans
Machine Learning 43 (3), 173-210, 2001
Bayesian sparse sampling for on-line reward optimization
T Wang, D Lizotte, M Bowling, D Schuurmans
Proceedings of the 22nd international conference on Machine learning, 956-963, 2005
Real-time discriminative background subtraction
L Cheng, M Gong, D Schuurmans, T Caelli
IEEE Transactions on Image Processing 20 (5), 1401-1414, 2010
Dynamic web log session identification with statistical language models
X Huang, F Peng, A An, D Schuurmans
Journal of the American Society for Information Science and Technology 55 …, 2004
Bridging the gap between value and policy based reinforcement learning
O Nachum, M Norouzi, K Xu, D Schuurmans
Advances in Neural Information Processing Systems, 2775-2785, 2017
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