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Publications in 2001

In Journal (refereed)

1. A. Grove, N. Littlestone, D. Schuurmans. "General Convergence Results for Linear Discriminant Updates". Machine Learning Journal (MLJ), 43(3), pp 179-210, December 2001. PDFview
2. D. Wishart, L. Querengesser, B. Lefebvre, N. Epstein, R. Greiner, J. Newton. "Medical Resonance Diagnostics: A New Technology for High Throughput Clinical Diagnostics". Journal of Clinical Chemistry, October 2001. view
3. A. Eydgahi, M. Ghavamzadeh. "Complementary Root Locus Revisited". IEEE Transactions on Education, 44(2), pp 137-143, June 2001. PDFview
4. D. Schuurmans, F. Southey. "Local search characteristics of incomplete SAT procedures". Artificial Intelligence (AIJ), 132(2), pp 121--150, June 2001. PDFview
5. A. Junghanns, J. Schaeffer. "Sokoban: Enhancing Single-Agent Search Using Domain Knowledge". Artificial Intelligence (AIJ), 129(1-2), pp 219-251, June 2001. PSview
6. J. Schaeffer. "Technology Transfer from One High-Performance Search Engine to Another". Journal of the International Computer Games Association (ICGA), 24(3), pp 131-146, June 2001. view
7. J. Schaeffer, A. Plaat, A. Junghanns. "Unifying Single-Agent and Two-Player Search". Information Sciences, 135(3-4), pp 151-175, June 2001. PDFview
8. R. Greiner, C. Darken, N. Iwan Santoso. "Efficient Reasoning". Computing Surveys, 33(1), pp 1--30, March 2001. PSview

In Journal (unrefereed)

9. J. van-Rijswijck, J. Schaeffer, R. Greiner. "Always Shoot: Using FIFA in the Classroom". Electronics Arts Journal, 2(1), pp 31-38, March 2001. view

In Conference (refereed)

10. F. Peng, D. Schuurmans. "A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling". Natural Language Processing Pacific Rim Symposium, December 2001. PDFview
11. D. Schuurmans, R. Patrascu. "Direct Value-Approximation for Factored MDPs". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, December 2001. PDFview
12. F. Peng, D. Schuurmans. "A Hierarchical EM Approach to Word Segmentation". Natural Language Processing Pacific Rim Symposium, November 2001. PDFview
13. R. Jensen, M. Veloso, M. Bowling. "OBDD-Based Optimistic and Strong Cyclic Adversarial Planning". European Conference on Planning (ECP), pp 265-276, September 2001. PDFview
14. F. Peng, D. Schuurmans. "Self-Supervised Chinese Word Segmentation". International Joint Conference on Artificial Intelligence (IJCAI), September 2001. PDFview
15. R. Greiner, R. Isukapalli. "Efficient Car Recognition Policies". IEEE International Conference on Robotics and Automation (ICRA), Seoul, pp 2134--2139, August 2001. PSview
16. T. Van Allen, R. Greiner, P. Hooper. "Bayesian Error-Bars for Belief Net Inference". Conference on Uncertainty in Artificial Intelligence (UAI), Seattle, Washington, USA, August 2001. PSview
17. R. Isukapalli, R. Greiner. "Efficient Interpretation Policies". International Joint Conference on Artificial Intelligence (IJCAI), August 2001. PSview
18. M. Bowling, M. Veloso. "Rational and Convergent Learning in Stochastic Games". International Joint Conference on Artificial Intelligence (IJCAI), pp 1021-1026, August 2001. PDFview
19. D. Schuurmans, F. Southey, R. Holte. "The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming". International Joint Conference on Artificial Intelligence (IJCAI), pp 334-341, August 2001. PDFview
20. M. Ghavamzadeh, S. Mahadevan. "Continuous-Time Hierarchical Reinforcement Learning". International Conference on Machine Learning (ICML), Williams College, pp 186-193, July 2001. PDFview
21. M. Bowling, M. Veloso. "Convergence of Gradient Dynamics with a Variable Learning Rate". International Conference on Machine Learning (ICML), Williams College, pp 27-34, June 2001. PDFview
22. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Multi-Agent Reinforcement Learning". pp 246-253, June 2001. PDFview
23. J. Cheng, R. Greiner. "Learning Bayesian Belief Network Classifiers: Algorithms and System". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, May 2001. PDFview
24. R. Holte. "Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search". Canadian Conference on Artificial Intelligence (CAI), Ottawa, Canada, pp 57-66, January 2001. view
25. D. Precup, R. Sutton, S. Dasgupta. "Off-Policy Temporal-Difference Learning With Function Approximation". International Conference on Machine Learning (ICML), Williams College, pp 417-424, January 2001. PDFview
26. M. Littman, R. Sutton, S. Singh. "Predictive Representations of State". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2001. view
27. P. Stone, R. Sutton. "Scaling Reinforcement Learning Toward RoboCup Soccer". International Conference on Machine Learning (ICML), Williams College, January 2001. PDFview

In Workshop

28. P. Stone, R. Sutton, S. Singh. "Reinforcement Learning for 3 vs. 2 Keepaway". RoboCup, January 2001. view

Other Categories

29. R. Greiner. "What is Artifcial Intelligence?". August 2001. view
30. R. Greiner, J. Schaeffer. "Proceedings of the "Effective interactive Artificial Intellgence Resrouces" Workshop(IJCAI'01)". AAAI Press, May 2001. view
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