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Books and Theses
- 2004
[b1]Finnegan Southey:
Augmenting Local Search for Satisfiability. University of Waterloo, Ontario, Canada, 2004
Journal Articles
- 2009
- [j3]Finnegan Southey, Bret Hoehn, Robert C. Holte:
Effective short-term opponent exploitation in simplified poker. Mach. Learn. 74(2): 159-189 (2009) - 2002
- [j2]Dale Schuurmans, Finnegan Southey:
Metric-Based Methods for Adaptive Model Selection and Regularization. Mach. Learn. 48(1-3): 51-84 (2002) - 2001
- [j1]Dale Schuurmans, Finnegan Southey:
Local search characteristics of incomplete SAT procedures. Artif. Intell. 132(2): 121-150 (2001)
Conference and Workshop Papers
- 2008
- [c18]Nathan R. Sturtevant, H. James Hoover, Jonathan Schaeffer, Sean Gouglas, Michael H. Bowling, Finnegan Southey, Matthew Bouchard, Ghassan Zabaneh:
Multidisciplinary students and instructors: a second-year games course. SIGCSE 2008: 383-387 - 2007
- [c17]Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey:
Improving Embeddings by Flexible Exploitation of Side Information. IJCAI 2007: 810-816 - [c16]Finnegan Southey, Wesley Loh, Dana F. Wilkinson:
Inferring Complex Agent Motions from Partial Trajectory Observations. IJCAI 2007: 2631-2637 - 2006
- [c15]Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans:
Discriminative unsupervised learning of structured predictors. ICML 2006: 1057-1064 - 2005
- [c14]Bret Hoehn, Finnegan Southey, Robert C. Holte, Valeriy Bulitko:
Effective Short-Term Opponent Exploitation in Simplified Poker. AAAI 2005: 783-788 - [c13]Gang Xiao, Finnegan Southey, Robert C. Holte, Dana F. Wilkinson:
Software Testing by Active Learning for Commercial Games. AAAI 2005: 898-903 - [c12]Finnegan Southey, Robert C. Holte:
SAGA-ML: An Active Learning System for Semiautomated Gameplay Analysis. AAAI 2005: 1708-1709 - [c11]Finnegan Southey, Gang Xiao, Robert C. Holte, Mark Trommelen, John W. Buchanan:
Semi-Automated Gameplay Analysis by Machine Learning. AIIDE 2005: 123-128 - [c10]Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans:
Tangent-Corrected Embedding. CVPR (1) 2005: 518-525 - [c9]Finnegan Southey:
Constraint Metrics for Local Search. SAT 2005: 269-281 - [c8]Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner:
Bayes? Bluff: Opponent Modelling in Poker. UAI 2005: 550-558 - 2002
- [c7]Finnegan Southey, Dale Schuurmans, Ali Ghodsi:
Regularized Greedy Importance Sampling. NIPS 2002: 753-760 - 2001
- [c6]Finnegan Southey, James G. Linders:
Ossa - A Conceptual Modelling System for Virtual Realities. ICCS 2001: 333-345 - [c5]Dale Schuurmans, Finnegan Southey, Robert C. Holte:
The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming. IJCAI 2001: 334-341 - 2000
- [c4]Dale Schuurmans, Finnegan Southey:
Local Search Characteristics of Incomplete SAT Procedures. AAAI/IAAI 2000: 297-302 - [c3]Dale Schuurmans, Finnegan Southey:
An Adaptive Regularization Criterion for Supervised Learning. ICML 2000: 847-854 - [c2]Dale Schuurmans, Finnegan Southey:
Monte Carlo inference via greedy importance sampling. UAI 2000: 523-532 - 1999
- [c1]Finnegan Southey, James G. Linders:
Notio - A Java API for Developing CG Tools. ICCS 1999: 262-271
Parts in Books or Collections
- 2006
- [p1]Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo:
Metric-Based Approaches for Semi-Supervised Regression and Classification. Semi-Supervised Learning 2006: 420-451
Informal and Other Publications
- 2013
- [i2]Dale Schuurmans, Finnegan Southey:
Monte Carlo Inference via Greedy Importance Sampling. CoRR abs/1301.3890 (2013) - 2012
- [i1]Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner:
Bayes' Bluff: Opponent Modelling in Poker. CoRR abs/1207.1411 (2012)
Coauthor Index
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