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Publications in 2005

In Journal (refereed)

1. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Combining Statistical Language Models Via the Latent Maximum Entropy Principle". Machine Learning Journal (MLJ), 60(1-3), pp 229-250, September 2005. view
2. G. Van Domselaar, P. Stothard, S. Shrivastava, J. Cruz, A. Guo, X. Dong, P. Lu, D. Szafron, R. Greiner, D. Wishart. "BASys: a web server for automated bacterial genome annotation". Nucleic Acids Research (NAR), 33((Web Server issue)), pp W455-W459, July 2005. PDFview
3. A. Botea, M. Enzenberger, M. Mueller, J. Schaeffer. "Macro-FF: Improving AI Planning with Automatically Learned Macro-Operators". Journal of Artificial Intelligence Research (JAIR), 24, pp 581-621, July 2005. PDFview
4. R. Greiner, X. Su, B. Shen, W. Zhou. "Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers". Machine Learning Journal (MLJ), (ed: P. Larranaga, J.A. Lozano, J.M. Pena, I. Inza), 59(3), pp 297--322, June 2005. PDFview
5. D. Szafron, M. Carbonaro, M. Cutimisu, S. Gillis, M. McNaughton, C. Onuczko, T. Roy, J. Schaeffer. "Writing Interactive Stories in the Classroom". Interactive Multimedia Electronic Journal of Computer-Enhanced Learning(IMEJ), 7(1), June 2005. view
6. P. Stone, R. Sutton, G. Kuhlmann. "Reinforcement Learning for RoboCup-Soccer Keepaway". Adaptive Behavior, (13(3),), pp pp 165-188, March 2005. PDFview
7. C. Onuczko, M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, K. Waugh, M. Carbonaro, J. Siegel. "A Pattern Catalog For Computer Role Playing Games". GameOn North America, pp 33-38, January 2005. PDFview
8. J. Anvik, J. Schaeffer, D. Szafron, K. Tan. "Asserting the utility of CO2P3S using the Cowichan Problem Set". Journal of Parallel and Distributed Computing, 65, pp 1542-1557, January 2005. PDFview
9. A. Driga, P. Lu, J. Schaeffer, D. Szafron, K. Charter, I. Parsons. "FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm". Algorithmica, 45(4), pp 337-375, January 2005. PDFview
10. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Learning mixture models with the regularized maximum entropy principle". IEEE Transactions on Neural Networks, 15(4), pp 903-916, January 2005. PSview
11. P. Lu, D. Szafron, R. Greiner, D. Wishart, A. Fyshe, B. Pearcy, B. Poulin, R. Eisner, D. Ngo, N. Lamb. "PA-GOSUB: A searchable Database of Model Organism Protein Sequences With Their Predicted GO Molecular Function and Subcelluar Localization". Nucleic Acids Research (NAR), 33 (Database issue), pp D147--D153, January 2005. PDFview
12. M. Hlynka, J. Schaeffer. "Pre-Searching". Journal of the International Computer Games Association (ICGA), 27(4), pp 203-208, January 2005. PDFview
13. B. Browning, J. Bruce, M. Bowling, M. Veloso. "STP: Skills, tactics and plays for multi-robot control in adversarial environments". Journal of Systems and Control Engineering, 219(1), pp 33-52, January 2005. PDFview

In Conference (refereed)

14. P. McCracken, M. Bowling. "Online discovery and learning of predictive state representations". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, pp 875882, December 2005. PDFview
15. M. Schmidt, I. Levner, R. Greiner, A. Murtha, A. Bistritz. "Segmenting Brain Tumors using Alignment-Based Features". International Conference on Machine Learning and Applications (ICMLA), Los Angeles, December 2005. PDFview
16. K. Iniewski, C. Sium, S. Kilambi, S. Khan, B. Crowley, P. Mercier, C. Schlegel. "Ultra-Low Power Circuit and System Design Trade-Offs for Smart Sensor Network Applications". Information and Communications Technology, 2005. Enabling Technologies for the New Knowledge Society, December 2005. view
17. R. Eisner, B. Poulin, D. Szafron, P. Lu, R. Greiner. "Improving Protein Function Prediction using the Hierarchical Structure of the Gene Ontology". IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), San Diego, November 2005. PDFview
18. X. Su, M. Kubat, M. Tapia, C. Hu. "Query Size Estimation Using Clustering Techniques". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 185-189, November 2005. PDFview
19. Y. Li, J. Harms, R. Holte. "Impact of Lossy Links on Performance of Multihop Wireless Networks". ICCCN, pp 303-308, October 2005. PDFview
20. A. Kapoor, R. Greiner. "Learning and Classifying under Hard Budgets". European Conference on Machine Learning (ECML), Porto, Portugal, pp 166-173, October 2005. PDFview
21. C. Drummond, R. Holte. "Severe Class Imbalance: Why Better Algorithms Aren't the Answer". European Conference on Machine Learning (ECML), Porto, Portugal, pp 539-546, October 2005. PDFview
22. C. Lee, R. Greiner, M. Schmidt. "Support Vector Random Fields for Spatial Classification". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Porto, Portugal, pp 121-132, October 2005. PDFview
23. A. Felner, U. Zahavi, J. Schaeffer, R. Holte. "Dual Lookups in Pattern Databases". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 103-108, August 2005. PDFview
24. S. Wang, S. Wang, R. Greiner, D. Schuurmans, L. Cheng. "Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields". International Conference on Machine Learning (ICML), Bonn, Germany, pp 953-960, August 2005. PSview
25. Y. Guo, R. Greiner, D. Schuurmans. "Learning Coordination Classifiers". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. PDFview
26. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Regret-Based Utility Elicitation in Constraint-Based Decision Problems". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. PDFview
27. B. Tanner, R. Sutton. "TD(lambda) Networks: Temporal-Difference Networks With Eligibility Traces". International Conference on Machine Learning (ICML), Bonn, Germany, August 2005. PDFview
28. B. Tanner, R. Sutton. "Temporal-Difference Networks With History". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. view
29. T. Zhu, R. Greiner, G. Haeubl, K. Jewell, B. Price. "Using Learned Browsing Behavior Models to Recommend Relevant Web Pages". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 1589-1594, August 2005. PDFview
30. E. Rafols, M. Ring, R. Sutton, B. Tanner. "Using Predictive Representations to Improve Generalization in Reinforcement Learning". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, August 2005. view
31. Y. Guo, R. Greiner. "Discriminative Model Selection for Belief Net Structures". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 770-776, July 2005. PDFview
32. B. Hoehn, F. Southey, R. Holte, V. Bulitko. "Effective Short-Term Opponent Exploitation in Simplified Poker". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 783-788, July 2005. PDFview
33. T. Zhu, R. Greiner, G. Haeubl, K. Jewell, B. Price. "Goal-Directed Site-Independent Recommendations from Passive Observations". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 549-556, July 2005. PDFview
34. T. Zhu, R. Greiner, G. Haeubl, K. Jewell, B. Price. "Off-line Evaluation of Recommendation Functions". User Modeling (UM), Edinburgh, UK, July 2005. PDFview
35. G. Xiao, F. Southey, R. Holte, D. Wilkinson. "Software Testing by Active Learning for Commercial Games". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 898-903, July 2005. PDFview
36. M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, C. Onuczko, M. Carbonaro. "Generating Ambient Behaviors in Computer Role-Playing Games". Intelligent Technologies for Interactive Entertainment(INTETAIN), pp 34-43, June 2005. view
37. M. Chung, M. Buro, J. Schaeffer. "Monte Carlo Search for Real-Time Strategy Games". IEEE, pp 117-124, June 2005. PDFview
38. B. Price, P. Messinger. "Optimal Recommendation Sets: Covering Uncertainty over User Preferences". National Conference on Artificial Intelligence (AAAI), Pittsburgh, June 2005. PDFview
39. J. Schaeffer. "Solving Checkers: First Result". pp 28(1):32-36, June 2005. view
40. A. Ghodsi, J. Huang, F. Southey, D. Schuurmans. "Tangent Corrected Embedding". Computer Vision and Pattern Recognition (CVPR), June 2005. PDFview
41. T. Zhu, R. Greiner, G. Haeubl, B. Price, K. Jewell. "Behavior-based Recommender Systems for Web Content". International Conference on Intelligent User Interfaces (IUI), pp 83-88, May 2005. view
42. T. Zheng, R. Goebel. "A simulation-based approach to evaluating the effectiveness of navigation compression models". Florida AI Research Symposium, pp 238-244, March 2005. PSview
43. M. Bowling, A. Ghodsi, D. Wilkinson. "Action respecting embedding". International Conference on Machine Learning (ICML), Bonn, Germany, pp 65-72, January 2005. PDFview
44. F. Southey, M. Bowling, B. Larson, C. Piccione, N. Burch, D. Billings, C. Rayner. "Bayes' bluff: Opponent modelling in poker". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, pp 550-558, January 2005. PDFview
45. T. Wang, D. Lizotte, M. Bowling, D. Schuurmans. "Bayesian Sparse Sampling for On-Line Reward Optimization". International Conference on Machine Learning (ICML), Bonn, Germany, pp 961-968, January 2005. PDFview
46. M. Bowling. "Convergence and no-regret in multiagent learning". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, pp 209-216, January 2005. PDFview
47. M. Bowling, P. McCracken. "Coordination and adaptation in impromptu teams". National Conference on Artificial Intelligence (AAAI), Pittsburgh, pp 53-58, January 2005. PDFview
48. C. Szepesvari, R. Munos. "Finite Time Bounds for Sampling Based Fitted Value Iteration". International Conference on Machine Learning (ICML), Bonn, Germany, pp 881-886, January 2005. PDFview
49. Y. Bjornsson, M. Enzenberger, R. Holte, J. Schaeffer. "Fringe Search: Beating A* at Pathfinding on Game Maps". IEEE, pp 125-132, January 2005. PDFview
50. Y. Li, J. Harms, R. Holte. "IDA*_MCSP: A Fast Exact MCSP Algorithm". ICC, pp 93-99, January 2005. view
51. Q. Wang, D. Schuurmans. "Improved estimation for unsupervised part-of-speech tagging". IEEE, January 2005. PDFview
52. M. Carbonaro, M. Cutimisu, M. McNaughton, C. Onuczko, T. Roy, J. Schaeffer, D. Szafron, S. Gillis, S. Kratchmer. "Interactive Story Writing in the Classroom: Using Computer Games". Digital Games Research Association (DIGRA), pp 323-328, January 2005. PDFview
53. A. Botea, M. Mueller, J. Schaeffer. "Learning Partial-Order Macros from Solutions". ICAPS, pp 231-240, January 2005. PDFview
54. D. Wilkinson, M. Bowling, A. Ghodsi. "Learning subjective representations for planning". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 889-894, January 2005. PDFview
55. L. Gerencser, M. Rasonyi, Z. Vago, C. Szepesvari. "Log-optimal currency portfolios and control Lyapunov exponents". IEEE, pp 1764-1769, January 2005. PDFview
56. Y. Guo, D. Wilkinson, D. Schuurmans. "Maximum Margin Bayesian Networks". Conference on Uncertainty in Artificial Intelligence (UAI), Edinburgh, Scotland, January 2005. view
57. D. Precup, R. Sutton, C. Paduraru, A. Koop, S. Singh. "Off-Policy Learning With Recognizers". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2005. PDFview
58. L. Kocsis, C. Szepesvari. "Reduced-Variance Payoff Estimation in Adversarial Bandit Problems". European Conference on Machine Learning (ECML), Porto, Portugal, January 2005. PDFview
59. F. Southey, G. Xiao, R. Holte, M. Trommelen, J. Buchanan. "Semi-Automated Gameplay Analysis by Machine Learning". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), pp 123-128, January 2005. PDFview
60. J. Schaeffer, Y. Bjornsson, N. Burch, A. Kishimoto, M. Mueller, R. Lake, P. Lu, S. Sutphen. "Solving Checkers". International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh, Scotland, pp 292-297, January 2005. PDFview
61. M. Bowling, D. Wilkinson, A. Ghodsi, A. Milstein. "Subjective Localization With Action Respecting Embedding". International Symposium of Robotics Research (ISRR), January 2005. PDFview
62. R. Sutton, E. Rafols, A. Koop. "Temporal Abstraction in Temporal-Difference Networks". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2005. PDFview
63. R. Sutton, B. Tanner. "Temporal-Difference Networks". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, (ed: MIT Press), January 2005. view
64. L. Xu, D. Schuurmans. "Unsupervised and Semi-Supervised Multi-Class Support Vector Machines". National Conference on Artificial Intelligence (AAAI), Pittsburgh, January 2005. view
65. L. Cheng, F. Jiao, D. Schuurmans, S. Wang. "Variational Bayesian Image Modelling". International Conference on Machine Learning (ICML), Bonn, Germany, January 2005. view

In Workshop

66. S. Wang, R. Greiner, D. Schuurmans, L. Cheng, S. Wang. "Integrating Trigram, PCFG and LDA for Language Modeling via Directed Markov Random Fields". NIPS Workshop on Bayesian Methods for Natural Language Processing, December 2005. view
67. R. Greiner. "Using Value of Information to Learn and Classify under Hard Budgets". Value of Information in Inference, Learning and Decision-Making, Whistler, B.C., Canada, December 2005. PDFview
68. J. Dufour, W. Wang, C. Cass, R. Greiner, J. Mackey, S. Damaraju. "Analysis of Single Nucleotide Polymorphisms in Candidate Genes and Application of Machine Learning Techniques for assessing Susceptibility to Breast Cancer in Alberta Women". ACB Annual Research Meeting, Banff, November 2005. PPTview
69. W. Wang, S. Damaraju, C. Cass, G. Fallone, M. Parliament, R. Greiner. "Analysis of Single Nucleotide Polymorphisms in Candidate Genes and Application of Machine Learning Techniques to Predict Radiation Toxicity in Prostate Cancer Patients Treated with Conformal Radiotherapy". ACB Annual Research Meeting, Banff, November 2005. PPTview
70. B. Price, G. Haeubl, R. Greiner. "Automatic Construction of Personalized Customer Interfaces". 2005 International Workshop on Customer Relationship Management, November 2005. view
71. R. Isukapalli, A. Elgammal, R. Greiner. "Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression". IEEE International Workshop on Analysis and Modeling of Faces and Gestures, October 2005. PDFview
72. C. Lee, M. Schmidt, A. Murtha, A. Bistritz, J. Sander, R. Greiner. "Segmenting Brain Tumor with Conditional Random Fields and Support Vector Machines". Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, October 2005. PDFview
73. A. Kapoor, R. Greiner. "Budgeted Learning of Bounded Active Classifiers". Utility-Based Data Mining (UBDM), August 2005. PDFview
74. A. Kapoor, R. Greiner. "Reinforcement Learning for Active Model Selection". Utility-Based Data Mining (UBDM), August 2005. PDFview
75. T. Zheng, R. Goebel. "An NCM-based Framework for Navigation Recommender Systems". Issues in Designing Physical Agents for Dynamic Real-time Environments, pp 80-86, July 2005. PSview
76. T. Zhu, R. Greiner. "Evaluating an Adaptive Music-Clip Recommender System". Fourth Workshop on the Evaluation of Adaptive Systems, pp 69--73, July 2005. PDFview
77. B. Poulin, D. Szafron, R. Greiner, R. Eisner, P. Lu. "RAMMER: Accelerating Protein Function Prediction". Canadian Proteomics Initiative (CPI), Toronto, Ontario, May 2005. PDFview
78. R. Goebel. "Can Learning achitectures help meet the Challenge of Reality Mining". Knowledge Sharing for Everyday Life, February 2005. view
79. R. Greiner, T. Zhu, G. Haeubl, B. Price, K. Jewell. "A Trustable Recommender System for Web Content". Beyond Personalization, January 2005. PDFview
80. L. Xu, L. Cheng, T. Wang, D. Schuurmans. "Convex hidden Markov models". Workshop on Advances in Structured Learning for Text and Speech Processing (within NIPS), January 2005. view
81. C. Drummond, R. Holte. "Learning to Live With False Alarms". Workshop on "Data Mining Methods for Anomaly Detection", January 2005. view
82. L. Cheng, S. Wang, D. Schuurmans, T. Caelli. "On-line learning with sparse kernels for video analysis". Workshop on Large-Scale Kernel Machines (within NIPS), January 2005. view
83. Z. Guo, J. Schaeffer, D. Szafron, P. Earl. "Using Generative Design Patterns to Develop Network Server Application". High-Level Parallel Programming Models and Supportive Environments, pp 178, January 2005. PDFview

Other Categories

84. A. Smola, P. Bartlett, B. Scholkopf, D. Schuurmans. "Introduction to Large Margin Classifiers". Value of Information in Inference, Learning and Decision-Making, Whistler, B.C., Canada, December 2005. view
85. S. Damaraju, D. Murray, J. Dufour, D. Carandang, S. Myrehaug, G. Fallone, C. Field, R. Greiner, J. Hanson, C. Cass, M. Parliament. "A Comprehensive Genomic Approach to the Identification of Predictive Markers using DNA and Tissue Repair Gene Polymorphisms in Radiation Induced Late Toxicity in Prostate Cancer Patients Treated with Conformal Radiotherapy". ACB Annual Research Meeting, Banff, November 2005. PPTview
86. M. Schmidt. "Automatic Brain Tumor Segmentation". MSc Thesis, Dept of Computing Science, University of Alberta, November 2005. PDFview
87. A. Ghodsi. "Non-linear Dimensionality Reduction with Side Information". PhD Thesis, University of Waterloo, November 2005. view
88. S. Shrivastava, C. Knox, P. Stothard, R. Greiner, D. Wishart. "Data Mining Tools for Curation of the Human Metabolome Database". Poster, Metabolomics Symposium, October 2005. view
89. A. Kapoor. "Learning and Classifying under Hard Budgets". MSc Thesis, University of Alberta, October 2005. PDFview
90. B. Poulin, D. Szafron, P. Lu, R. Greiner, D. Wishart, R. Eisner, A. Fyshe, B. Pearcy, L. Pireddu. "The Proteome Analyst Suite of Automated Function Prediction Tools". Demo, National Conference on Artificial Intelligence (AAAI), Pittsburgh, July 2005. PDFview
91. A. Fyshe, P. Lu, D. Szafron, R. Greiner, D. Wishart, B. Pearcy, B. Poulin, R. Eisner, D. Ngo, N. Lamb. "PA-GOSUB: Gene Ontology Molecular Function and Subcellular Localization Predictions for Model Organisms,". Poster, Intelligent Systems for Molecular Biology (ISMB), Michigan, June 2005. PDFview
92. R. Eisner, A. Fyshe, R. Greiner, P. Lu, B. Pearcy, B. Poulin, D. Szafron, D. Wishart. "Predicting 400 GO Functions of Proteins". Poster, Intelligent Systems for Molecular Biology (ISMB), Michigan, June 2005. PDFview
93. A. Fyshe, P. Lu, D. Szafron, R. Greiner, D. Wishart, B. Poulin, R. Eisner, D. Ngo, N. Lamb. "Proteome Analyst: Machine learning for protein annotation". Poster, Intelligent Systems for Molecular Biology (ISMB), Michigan, June 2005. PDFview
94. B. Poulin, D. Szafron, P. Lu, R. Greiner, D. Wishart, R. Eisner, A. Fyshe, L. Pireddu. "The Proteome Analyst Suite of Automated Function Prediction Tools". Intelligent Systems for Molecular Biology (ISMB), Michigan, June 2005. PDFview
95. B. Pearcy, P. Lu, D. Szafron, R. Greiner, D. Wishart, A. Fyshe, B. Poulin, R. Eisner, D. Ngo, N. Lamb. "PA-GOSUB: Gene Ontology Molecular Function (GO) and Subcellular Localization (SUB) Predictions for Model Organisms". Poster, Canadian Proteomics Initiative (CPI), Toronto, Ontario, May 2005. PDFview
96. F. Southey, M. Bowling, B. Larson, C. Piccione, N. Burch, D. Billings, C. Rayner. "Bayes' Bluff: Opponent Modelling in Poker". Demo, Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2005. view
97. R. Holte, J. Grajkowski, B. Tanner. "Hierarchical Heuristic Search Revisited". Symposium on Abstraction, Reformulation and Approximation, Edinburg L, January 2005. view
98. M. Bowling, R. Jensen, M. Veloso. "Multiagent Planning in the Presence of Multiple Goals". Intelligent Series, Wiley, (ed: Rene Jorna, Wout van Wezel, and Alex Meystel), (345-371), January 2005. PDFview
99. P. Torma, C. Szepesvari. "On using Likelihood-adjusted Proposals in Particle Filtering: Local Importance Sampling". Symposium on Image and Signal Processing and Analysis, January 2005. PDFview
100. L. Kocsis, C. Szepesvari, M. Winands. "RSPSA: Enhanced Parameter Optimisation in Games". Advances in Computer Games (ACG), January 2005. PDFview
101. Q. Wang, D. Schuurmans, D. Lin. "Strictly lexical dependency parsing". International Workshop on Parsing Technologies (IWPT), January 2005. PDFview
102. Y. Guo, D. Schuurmans. "Support Vector Machines on General Confidence Functions". January 2005. view
103. L. Cheng, B. Bai, C. Lei, D. Schuurmans, S. Wang. "Shape Time Discriminative Classification of Video Objects". 2005. view
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