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Publications in 2003

In Journal (refereed)

1. X. Huang, F. Peng, D. Schuurmans, N. Cercone, S. Robertson. "Applying Machine Learning to Text Segmentation for Information Retrieval". Information Retrieval (IR), 6(3), pp 333-362, September 2003. view
2. F. Peng, D. Schuurmans, S. Wang. "Augmenting Naive Bayes Classifiers with Statistical Language Models". Information Retrieval (IR), September 2003. view
3. R. Niewiadomski, J. Amaral, R. Holte. "Abstraction and reformulation in artificial intelligence.". Philosophical Transactions of the Royal Society: Biological Sciences, 358(1435), pp 1197-1206, June 2003. PDFview
4. A. Ghodsi, D. Schuurmans. "Automatic basis selection techniques for RBF networks". Neural Networks, 16(5-6), pp 809-816, June 2003. view
5. L. Kozeratska, J. Forbes, R. Goebel, J. Kresta. "Peerturbed cones for analysis of uncertain multi-criteria optimization problems". Linear Algebra and its Applications, 278, pp 203-229, January 2003. view
6. C. Pinchak, P. Lu, J. Schaeffer, M. Goldenberg. "The Canadian Internetworked Scientific Supercomputer". High Performance Computing Systems and Applications, (ed: D. Senechal), pp 193-199, January 2003. PDFview

In Conference (refereed)

7. I. Levner, L. Li, R. Greiner, V. Bulitko. "Improving an adaptive image interpretation system by leveraging". Eighth Australian and New Zealand Conference on Intelligent Information Systems (ANZCIIS), New Zealand, pp 501-506, December 2003. view
8. I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Learning robust object recognition strategies". Eighth Australian and New Zealand Conference on Intelligent Information Systems (ANZCIIS), New Zealand, pp 489-494, December 2003. PDFview
9. I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Automated feature extraction for object recognition". Image and Vision Computing New Zealand (IVCNZ), New Zealand, pp 309-313, November 2003. PDFview
10. B. Shen, X. Su, R. Greiner, P. Musilek, C. Cheng. "Discriminative Parameter Learning of General Bayesian Network Classifiers". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Sacramento, California, November 2003. view
11. S. Wang, D. Schuurmans. "Learning Continuous Latent Variable Models With Bregman Divergences". ICASSP, October 2003. PSview
12. T. Zheng, Y. Niu, J. Chen, R. Goebel. "WebKIV: Visualizing Structure and Navigation forWeb Mining Applications". IEEE, pp 13-17, October 2003. PDFview
13. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Boltzmann Machine Learning With the Latent Maximum Entropy Principle". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003. PSview
14. D. Lizotte, O. Madani, R. Greiner. "Budgeted Learning of Naive-Bayes Classifiers". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, August 2003. PSview
15. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Policy Gradient Algorithms". International Conference on Machine Learning (ICML), Washington, DC USA, pp 226-233, August 2003. PDFview
16. T. Zhu, R. Greiner, G. Haeubl. "Learning a Model of a Web User's Interests". User Modeling (UM), Johnstown, PA, USA, pp 65-75, August 2003. PSview
17. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Learning mixture models with the regularized latent maximum entropy principle". International Conference on Machine Learning (ICML), Washington, DC USA, August 2003. PDFview
18. V. Bulitko, L. Li, R. Greiner, I. Levner. "Lookahead Pathologies for Single Agent Search". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, August 2003. PDFview
19. M. Bowling, M. Veloso. "Simultaneous adversarial multi-robot learning". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 699-704, August 2003. PDFview
20. A. Ghodsi, D. Schuurmans. "Automatic Basis Selectsion for RBF Networks". IJCNN, July 2003. view
21. I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Towards automated creation of image interpretation systems". Australian Joint Conference on Artificial Intelligence, pp 653-665, July 2003. PDFview
22. R. Niewiadomski, J. Amaral, R. Holte. " Crafting Data Structures: A Study of Reference Locality in Refinement Based Path Finding". International Conference on High Performance Computing(HiPC), (ed: T.M. Pinkston and V.K. Prasanna), pp 438-448, June 2003. PDFview
23. A. Ghodsi, D. Schuurmans. "Automatic basis selection for RBF networks using Stein's unbiased risk estimator". IJCNN, June 2003. PDFview
24. A. Ghodsi, D. Schuurmans. "Automatic Complexity Control for System Identification". Fuzzy Systems Association World Congress(IFSA), June 2003. PDFview
25. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Constraint-based optimization and elicitation with the minimax decision criterion". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, June 2003. view
26. F. Lu, D. Schuurmans. "Model-Based Least-Squares Policy Evalulation". Canadian Conference on Artificial Intelligence (CAI), Halifax, Nova Scotia, Canada, June 2003. PSview
27. T. Zhu, R. Greiner, G. Haeubl. "An Effective Complete-Web Recommender System". Twelfth International World Wide Web Conference, Budapest, HUNGARY, May 2003. PDFview
28. F. Peng, D. Schuurmans, S. Wang. "Language and Task Independent Text Categorization With Simple Language Models". HLT-NAACL, May 2003. PDFview
29. F. Peng, D. Schuurmans, S. Wang. "Language independent authorship attribution using character level language models". EACL, April 2003. PSview
30. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Semantic N-Gram Language Modelling With the Latent Maximum Entropy Principle". ICASSP, April 2003. view
31. D. Billings, N. Burch, A. Davidson, R. Holte, J. Schaeffer, T. Schauenberg, D. Szafron. "Approximating Game-Theoretical Optimal Strategies for Full-Scale Poker". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 661-668, January 2003. view
32. J. Schaeffer, Y. Bjornsson, N. Burch, R. Lake, P. Lu, S. Sutphen. "Building the Checkers 10-piece Endgame Databases". Advances in Computer Games (ACG), (ed: Kluwer Academic Publishers), pp 193-210, January 2003. PDFview
33. P. Torma, C. Szepesvari. "Combining Local Search, Neural Networks and Particle Filters to Achieve Fast and Reliable Contour Tracking". IEEE, January 2003. PDFview
34. F. Peng, D. Schuurmans. "Combining Naive Bayes and n-Gram Language Models for Text Classification". ECIR, January 2003. PSview
35. Y. Bjornsson, M. Enzenberger, R. Holte, J. Schaeffer, P. Yap. "Comparison of Different Abstractions for Pathfinding on Maps". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 1536-1538, January 2003. PDFview
36. A. Driga, P. Lu, J. Schaeffer, D. Szafron, K. Charter, I. Parsons. "FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm for Sequence Alignment". International Conference on Parallel Processing (ICPP), Kaohsiung, Taiwan, pp 48-57, January 2003. PDFview
37. S. Wang, D. Schuurmans, F. Peng. "Latent Maximum Entropy Approach for Semantic N-Gram Language Modeling". International Workshop on Artificial Intelligence and Statistics (AISTATS), January 2003. PDFview
38. F. Lu, D. Schuurmans. "Monte Carlo matrix inversion policy evaluation". Conference on Uncertainty in Artificial Intelligence (UAI), Acapulco, Mexico, January 2003. PSview
39. J. Bruce, M. Bowling, B. Browning, M. Veloso. "Multi-robot team response to a multi-robot opponent team". IEEE International Conference on Robotics and Automation (ICRA), pp 2281-2286, January 2003. view
40. M. Goldenberg, A. Kovarksy, X. Wu, J. Schaeffer. "Multiple Agents Moving Target Search". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, pp 1511-1512, January 2003. PDFview
41. M. McNaughton, J. Redford, J. Schaeffer, D. Szafron. "Pattern-based AI Scripting Using ScriptEase". Canadian Society for Computational Studies of Intelligence, pp 35-49, January 2003. PSview
42. P. Torma, C. Szepesvari. "Sequential Importance Sampling for Visual Tracking Reconsidered". International Workshop on Artificial Intelligence and Statistics (AISTATS), pp 271-278, January 2003. PDFview
43. X. Huang, F. Peng, A. An, D. Schuurmans, N. Cercone. "Session Boundary Detection for Association Rule Learning Using n-Gram Language Models". Canadian Conference on Artificial Intelligence (CAI), Halifax, Nova Scotia, Canada, January 2003. PDFview
44. R. Isukapalli, R. Greiner. "Use of Off-line Dynamic Programming for Efficient Image Interpretation". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, January 2003. PDFview
45. K. Tan, D. Szafron, J. Schaeffer, J. Anvik, S. MacDonald. "Using Generative Design Patterns to Generate Parallel Code for a Distributed Memory Environment". ACM Sigplan Symposium on Principles and Practice of Parallel Programming, pp 203-215, January 2003. PDFview
46. J. Anvik, J. Schaeffer, D. Szafron, K. Tan. "Why Not Use a Pattern-based Parallel Programming System?". Euro-Par, pp 81-86, January 2003. PSview

In Workshop

47. L. Li, V. Bulitko, I. Levner. "Learning Distance Metrics". Workshop on Approximate Nearest Neighbors Methods for Learning and Vision, Whistler, British Columbia, December 2003. view
48. M. Bowling, B. Browning, A. Chang, M. Veloso. "Plays as Team Plans for Coordination and Adaptation". Issues in Designing Physical Agents for Dynamic Real-time Environments, August 2003. PDFview
49. T. Zhu, R. Greiner, G. Haeubl. "Predicting Web Information Content". Intelligent Techniques for Web Personalization, August 2003. PSview
50. G. Haeubl, T. Zhu, R. Greiner. "Predicting Where a Web User Wants to Go". Best Practices and Future Visions for Search User Interfaces, Fort Lauterdale, August 2003. PSview
51. D. Szafron, R. Greiner, P. Lu, D. Wishart, Z. Lu, B. Poulin, R. Eisner, J. Anvik, C. Macdonell. "Proteome Analyst -- Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors". Bioinformatics Workshop, August 2003. PDFview
52. V. Bulitko, L. Li, R. Greiner, I. Levner. "Adaptive image interpretation: A spectrum of machine learning problems". The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, July 2003. view
53. A. Botea, M. Mueller, J. Schaeffer. "Extending PDDL for Hierarchical Planning and Topological Abstraction". Workshop on PDDL, pp 25-32, June 2003. PDFview
54. J. Anvik, R. Eisner, R. Greiner, P. Lu, Z. Lu, C. Macdonell, B. Poulin, D. Szafron, D. Wishart. " Custom Classifier Creation for Proteome Analyst". PENCE Annual Workshop, May 2003. view
55. K. Calder, C. Cass, R. Berendt, S. Damaraju, L. Cook, J. Dufour, A. Driga, K. Graham, E. Pituskin, R. Greiner, A. Reiman, M. Sawyer, D. Wishart, J. Mackey. "Alberta Cancer Board PolyomX Program". ACB Annual Research Meeting, Banff, May 2003. view
56. Z. Lu, J. Anvik, R. Eisner, R. Greiner, P. Lu, C. Macdonell, B. Poulin, D. Szafron, D. Wishart. "Using Proteome Analyst for Protein Sub-cellular Localization Prediction". PENCE Annual Workshop, May 2003. view
57. C. Drummond, R. Holte. "C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling Beats Over-Sampling". Workshop on Learning from Imbalanced Datasets II, January 2003. view
58. M. Goldenberg, P. Lu, C. Pinchak, J. Schaeffer. "TrellisDAG: A System for Structured DAG Scheduling". Workshop on Job Scheduling Strategies for Parallel Processing, pp 21-34, January 2003. view

Other Categories

59. D. Lizotte. "Budgeted Learning of Naive Bayes Classifiers - MSc". MSc Thesis, University of Alberta, September 2003. PDFview
60. A. Driga, R. Greiner, K. Graham, S. Damaraju, D. Wishart, J. Mackey, C. Cass. "Tumor Profile Discovery and Tumor Bank Management with DORA". ACB Annual Research Meeting, Banff, September 2003. PPTview
61. M. Bowling. "Multiagent learning in the presence of agents with limitations". PhD Thesis, Carnegie Mellon University, May 2003. PDFview
62. J. Schaeffer. "Man vs Machine". Technical Report, En Passant, January 2003. view
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