“Improving Embeddings by Flexible Exploitation of Side Information”, Ali Ghodsi, Finnegan Southey, Dana Wilkinson, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), 2007.
[ijcai.org] [search]
“Inferring Complex Agent Motions from Partial Trajectory Observations”, Finnegan Southey, Wesley Loh, Dana Wilkinson, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), 2007.
[ijcai.org] [search]
“Bayes' Bluff: Opponent Modelling in Poker”, Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, Chris Rayner, Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-2005), pp. 550-558.
[search]
“Constraint Metrics for Local Search”, Finnegan Southey, SAT, 2005, pp. 269-281.
[doi] [search]
“Effective Short-Term Opponent Exploitation in Simplified Poker”, Bret Hoehn, Finnegan Southey, Robert C. Holte, Valeriy Bulitko, AAAI, 2005, pp. 783-788.
[search]
“Semi-Automated Gameplay Analysis by Machine Learning”, Finnegan Southey, Gang Xiao, Robert C. Holte, John Buchanan, Proceedings of the 2005 Conference on Artificial Intelligence in Interactive Digital Entertainment (AIIDE-05), pp. 123-128.
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“Software Testing by Active Learning for Commercial Games”, Gang Xiao, Finnegan Southey, Robert C. Holte, Dana F. Wilkinson, AAAI, 2005, pp. 898-903.
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“Tangent-Corrected Embedding”, Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans, CVPR, 2005, pp. 518-525.
[doi] [search]
“Metric-Based Methods for Adaptive Model Selection and Regularization”, Dale Schuurmans, Finnegan Southey, Machine Learning, vol. 48 (2002), pp. 51-84.
[search]
“Regularized Greedy Importance Sampling”, Finnegan Southey, Dale Schuurmans, Ali Ghodsi, NIPS, 2002, pp. 753-760.
[books.nips.cc] [search]
“Local search characteristics of incomplete SAT procedures”, Dale Schuurmans, Finnegan Southey, Artificial Intelligence, vol. 132 (2001), pp. 121-150.
[doi] [search]
“Ossa - A Conceptual Modelling System for Virtual Realities”, Finnegan Southey, James G. Linders, ICCS, 2001, pp. 333-345.
[link.springer.de] [search]
“The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming”, Dale Schuurmans, Finnegan Southey, Robert C. Holte, IJCAI, 2001, pp. 334-341.
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“An Adaptive Regularization Criterion for Supervised Learning”, Dale Schuurmans, Finnegan Southey, ICML, 2000, pp. 847-854.
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“Local Search Characteristics of Incomplete SAT Procedures”, Dale Schuurmans, Finnegan Southey, AAAI/IAAI, 2000, pp. 297-302.
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“Monte Carlo inference via greedy importance sampling”, Dale Schuurmans, Finnegan Southey, UAI, 2000, pp. 523-532.
[rome.exp.sis.pitt.edu] [search]
“Notio - A Java API for Developing CG Tools”, Finnegan Southey, James G. Linders, ICCS, 1999, pp. 262-271.
[search]