Bayes' bluff: Opponent modelling in poker F Southey, MP Bowling, B Larson, C Piccione, N Burch, D Billings, ... arXiv preprint arXiv:1207.1411, 2012 | 286 | 2012 |
Local search characteristics of incomplete SAT procedures D Schuurmans, F Southey Artificial Intelligence 132 (2), 121-150, 2001 | 155 | 2001 |
The exponentiated subgradient algorithm for heuristic boolean programming D Schuurmans, F Southey, RC Holte IJCAI, 334-341, 2001 | 121 | 2001 |
Metric-based methods for adaptive model selection and regularization D Schuurmans, F Southey Machine Learning 48, 51-84, 2002 | 58 | 2002 |
Effective short-term opponent exploitation in simplified poker B Hoehn, F Southey, RC Holte, V Bulitko AAAI 5, 783-788, 2005 | 54 | 2005 |
Notio-A Java API for developing CG tools F Southey, JG Linders Conceptual Structures: Standards and Practices: 7th International Conference …, 1999 | 53 | 1999 |
Discriminative unsupervised learning of structured predictors L Xu, D Wilkinson, F Southey, D Schuurmans Proceedings of the 23rd International Conference on Machine Learning, 1057-1064, 2006 | 44 | 2006 |
Software testing by active learning for commercial games G Xiao, F Southey, RC Holte, D Wilkinson AAAI, 898-903, 2005 | 42 | 2005 |
Inferring Complex Agent Motions from Partial Trajectory Observations. F Southey, W Loh, DF Wilkinson IJCAI 7, 2631-2637, 2007 | 33 | 2007 |
Improving Embeddings by Flexible Exploitation of Side Information. A Ghodsi, DF Wilkinson, F Southey IJCAI, 810-816, 2007 | 26 | 2007 |
Semi-automated gameplay analysis by machine learning F Southey, G Xiao, R Holte, M Trommelen, J Buchanan Proceedings of the AAAI Conference on Artificial Intelligence and …, 2005 | 26 | 2005 |
Approaching evolutionary robotics through population-based incremental learning F Southey, F Karray IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on …, 1999 | 26 | 1999 |
Multidisciplinary students and instructors: a second-year games course NR Sturtevant, HJ Hoover, J Schaeffer, S Gouglas, MH Bowling, ... ACM SIGCSE Bulletin 40 (1), 383-387, 2008 | 18 | 2008 |
Effective short-term opponent exploitation in simplified poker F Southey, B Hoehn, RC Holte Machine Learning 74, 159-189, 2009 | 16 | 2009 |
An adaptive regularization criterion for supervised learning D Schuurmans, F Southey Proceedings of the Seventeenth International Conference on Machine Learning …, 2000 | 15 | 2000 |
24 Metric-Based Approaches for Semi-Supervised Regression and Classification D Schuurmans, F Southey, D Wilkinson, Y Guo | 12 | 2006 |
Monte Carlo inference via greedy importance sampling D Schuurmans, F Southey arXiv preprint arXiv:1301.3890, 2013 | 11 | 2013 |
Ossa-a conceptual modelling system for virtual realities F Southey, JG Linders Conceptual Structures: Broadening the Base: 9th International Conference on …, 2001 | 11 | 2001 |
Tangent-corrected embedding A Ghodsi, J Huang, F Southey, D Schuurmans 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 10 | 2005 |
Regularized greedy importance sampling F Southey, D Schuurmans, A Ghodsi Advances in Neural Information Processing Systems 15, 2002 | 10 | 2002 |