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Publications in 2004

In Journal (refereed)

1. X. Huang, F. Peng, A. An, D. Schuurmans. "Dynamic Web Log Session Identification With Statistical Language Models". Journal of the American Society for Information Science and Technology (JASTIS), 55(14), pp 1290-1303, December 2004. view
2. D. Szafron, P. Lu, R. Greiner, D. Wishart, B. Poulin, R. Eisner, Z. Lu, J. Anvik, D. Meeuwis, A. Fyshe, C. Macdonell. "Proteome Analyst: Custom Predictions with Explanations in a Web-based Tool for High-Throughput Proteome Annotations". Nucleic Acids Research (NAR), 32, pp W365-W371, July 2004. PDFview
3. J. Listgarten, S. Damaraju, B. Poulin, L. Cook, J. Dufour, A. Driga, J. Mackey, D. Wishart, R. Greiner, B. Zanke. "Predictive Models for Breast Cancer Susceptibility from Multiple Single Nucleotide Polymorphisms". Clinical Cancer Research (CCR), April 2004. PDFview
4. Z. Lu, D. Szafron, R. Greiner, P. Lu, D. Wishart, B. Poulin, J. Anvik, C. Macdonell, R. Eisner. "Predicting Subcellular Localization of Proteins using Machine-Learned Classifiers". Bioinformatics, 20(4), pp 547--556, March 2004. PDFview
5. R. Niewiadomski, J. Amaral. "A Performance Study of Data Layout Techniques for Improving Data Locality in Refinement-Based Pathfinding". Journal of Experimental Algorithms (JEA), 1.2(9), pp 1-28, January 2004. PDFview
6. M. Bowling, M. Veloso. "Existence of multiagent equilibria with limited agents". Journal of Artificial Intelligence Research, (22), pp 353-384, January 2004. PDFview
7. L. Nada, H. Motoda, T. Fawcett, R. Holte, P. Langley, P. Adriaans. "Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving". Machine Learning Journal (MLJ), pp 13-34, January 2004. PDFview
8. A. Ghose, P. Hadjinian, A. Sattar, J. You, R. Goebel. "Iterated belief change". Computational Intelligence, 20(1), pp 37-66, January 2004. view
9. A. Botea, M. Mueller, J. Schaeffer. "Near Optimal Hierarchical Path-Finding". Journal of Game Development, 1(1), pp 1-22, January 2004. PDFview
10. T. Hauk, M. Buro, J. Schaeffer. "Rediscovering *-Minimax Search". International Conference on Computers and Games (CG), pp 35-50, January 2004. PDFview

In Conference (refereed)

11. P. McCracken, M. Bowling. "Safe strategies for agent modelling in games". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, October 2004. PDFview
12. L. Li, V. Bulitko, R. Greiner. "Batch reinforcement learning with state importance". European Conference on Machine Learning (ECML), Pisa, Italy, pp 566-588, September 2004. PDFview
13. O. Madani, D. Lizotte, R. Greiner. "Active Model Selection". Conference on Uncertainty in Artificial Intelligence (UAI), Banff, Alberta, pp 357-365, July 2004. PDFview
14. M. Ghavamzadeh, S. Mahadevan. "Learning to Communicate and Act using Hierarchical Reinforcement Learning". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), July 2004. PDFview
15. O. Madani, D. Lizotte, R. Greiner. "The Budgeted Multi-Armed Bandit Problem". Conference on Learning Theory (COLT), Banff, Alberta, pp 643-645, July 2004. PDFview
16. T. Hauk, M. Buro, J. Schaeffer. "*-Minimax Performance in Backgammon". Computers and Games, pp 51-66, June 2004. PDFview
17. M. McNaughton, J. Schaeffer, D. Szafron, D. Parker, J. Redford. "Code Generation for AI Scripting in Computer Role-Playing Games". Challenges in Games Artificial Intelligence Report # WS-04-04, AAAI Press, pp 129-133, June 2004. PDFview
18. R. Holte, J. Newton, A. Felner, R. Meshulam, D. Furcy. "Multiple Pattern Databases". ICAPS, pp 122-131, June 2004. PDFview
19. A. Ghodsi, J. Huang, D. Schuurmans. "Transformation-Invariant Embedding for image analysis". European Conference on Computer Vision (ECCV), Prague, Czech Republic, May 2004. PSview
20. A. Felner, R. Meshulam, R. Holte, R. Korf. "Compressing Pattern Databases". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 638-643, March 2004. PDFview
21. R. Goebel. "Cyberlaw: Tracking technological change to sustain social democracy". Multimedia Super Corridor International Cyberlaws Conference, pp 309-316, March 2004. view
22. P. Torma, C. Szepesvari. "Enhancing Particle Filters using Local Likelihood Sampling". European Conference on Computer Vision (ECCV), Prague, Czech Republic, January 2004. PDFview
23. D. Billings, M. Bowling, N. Burch, A. Davidson, R. Holte, J. Schaeffer, T. Schauenberg. "Game tree search with adaptation in stochastic imperfect information games". International Conference on Computers and Games (CG), pp 21-34, January 2004. PSview
24. C. Szepesvari, W. Smart. "Interpolation-based Q-learning". International Conference on Machine Learning (ICML), pp 791-798, January 2004. PDFview
25. A. Kocsor, K. Kovacs, C. Szepesvari. "Margin Maximizing Discriminant Analysis". European Conference on Machine Learning (ECML), Pisa, Italy, January 2004. PDFview
26. L. Xu, J. Neufeld, B. Larson, D. Schuurmans. "Maximum Margin Clustering". Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, January 2004. view
27. M. Bowling, B. Browning, M. Veloso. "Plays as effective multiagent plans enabling opponent-adaptive play selection". ICAPS, pp 376-383, January 2004. PDFview
28. M. McNaughton, M. Cutimisu, D. Szafron, J. Schaeffer, J. Redford, D. Parker. "ScriptEase: Generative Design Patterns for Computer Role-Playing Games". IEEE International Conference on Automated Software Engineering (ASE), pp 88-99, January 2004. PDFview
29. F. Southey, R. Holte. "Semi-Automated Gameplay Analysis". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, January 2004. view
30. C. Szepesvari. "Shortest Path Discovery Problems: A Framework, Algorithms and Experimental Results". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 550-555, January 2004. PDFview
31. M. Mueller, M. Enzenberger, J. Schaeffer. "Temperature Discovery Search". National Conference on Artificial Intelligence (AAAI), San Jose, California, USA, pp 658-663, January 2004. PDFview
32. A. Botea, M. Mueller, J. Schaeffer. "Using Component Abstraction for Automatic Generation of Macro-actions". ICAPS, pp 181-190, January 2004. PDFview

In Workshop

33. L. Li, V. Bulitko, R. Greiner. "Focus of attention in sequential decision making". Learning and Planning in Markov Processes -- Advances and Challenges, pp 43--48, July 2004. PDFview
34. J. Newton, R. Greiner. "Hierarchical Probabilistic Relational Models for Collaborative Filtering". SRL2004: Statistical Relational Learning and its Connections to Other Fields, July 2004. PDFview
35. O. Zaiane, J. Chen, L. Sun, R. Goebel. "Visualizing and Discovering Web Navigational Patterns". International Workshop on the Web and Databases, June 2004. PDFview
36. J. Newton, R. Greiner. "Hierachical PRMs for Collaborative Filtering". Workshop on Statistical Relational Learning and its Connections to Other Fields, May 2004. view
37. Y. Wang, O. Zaiane, R. Goebel, J. Southron, U. Basu, R. Whittal, J. Stephens, G. Taylor. "Developing a Database for Proteomic Analysis of Extracytosolic Plant Proteins". International Workshop on Biological Data Management (BIDM), March 2004. PDFview
38. S. MacDonald, D. Szafron, J. Schaeffer. "Rethinking the Pipeline as Object-Oriented States with Transformations". High-Level Parallel Programming Models and Supportive Environments, pp 12-21, January 2004. PDFview

Other Categories

39. J. Listgarten, R. Greiner, A. Driga, K. Graham, S. Damaraju, J. Mackey, C. Cass. "Analysis of Molecular and Clinical Data at PolyomX". ACB Annual Research Meeting, Banff, November 2004. PPTview
40. R. Greiner, D. Schuurmans. "ICML 2004 Conference Proceedings". International Conference on Machine Learning (ICML), July 2004. view
41. S. Wang, R. Greiner. "Identifying metabolite mentions in text via semi-supervised structured learning of conditional random fields". Poster, Metabolomics Symposium, June 2004. view
42. T. Zhu, R. Greiner, G. Haeubl, B. Price. "WebIC: An All-Web Recommendation System". Distinguished Scholars Retreat, UofAlberta Business, May 2004. view
43. I. Hernadvolgyi, R. Holte. "PSVN: A Vector Representation for Production Systems". Technical Report, April 2004. view
44. B. Poulin. "Sequence-based protein function prediction". MSc Thesis, Department of Computing Science, February 2004. view
45. R. Eisner, A. Fyshe, R. Greiner, P. Lu, D. Meeuwis, B. Poulin, D. Szafron, C. Upton, D. Wishart. "Proteome Analyst - Gene Ontology Protein Function Prediction". Poster, Canadian Proteomics Initiative (CPI), January 2004. PDFview
46. A. Fyshe, R. Eisner, R. Greiner, P. Lu, D. Meeuwis, B. Poulin, D. Szafron, D. Wishart, C. Upton. "Proteome Analyst: An Overview". Poster, PENCE Annual Workshop, January 2004. PDFview
47. I. Hernadvolgyi, R. Holte. "Steps Towards the Automatic Creation of Search Heuristics". Technical Report, January 2004. view
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