Not Logged In



Publications in 2006

In Journal (refereed)

1. M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "Learning a Classification-based Glioma Growth Model Using MRI Data". Journal of Computers (JCP), 1(7), pp 21-31, November 2006. PDFview
2. R. Holte, A. Felner, J. Newton, R. Meshulam, D. Furcy. "Maximizing over Multiple Pattern Databases speeds up Heuristic Search". Artificial Intelligence (AIJ), 170, pp 1123-1136, November 2006. PDFview
3. C. Drummond, R. Holte. "Cost Curves: An Improved Method for Visualizing Classifier Performance". Machine Learning Journal (MLJ), 65(1), pp 95-130, October 2006. view
4. L. Pireddu, D. Szafron, P. Lu, R. Greiner. "The Path-A metabolic pathway prediction web server". Nucleic Acids Research (NAR), 34((Web Server Issue)), pp W714 -- W719, July 2006. PDFview
5. M. Ghavamzadeh, S. Mahadevan. "Hierarchical Average Reward Reinforcement Learning". Journal of Machine Learning Research (JMLR), 13(2), pp 197-229, June 2006. PDFview
6. S. Damaraju, D. Murray, J. Dufour, D. Carandang, R. Myrehaug, G. Fallone, C. Field, R. Greiner, J. Hanson, C. Cass, M. Parliament. "Association of DNA Repair and Steroid Metabolism Gene Polymorphisms with Clinical Late Toxicity in Patients Treated with Conformal Radiotherapy for Prostate Cancer". Clinical Cancer Research (CCR), 12(8), pp 2545-2554, April 2006. view
7. C. Boutilier, R. Patrascu, P. Poupart, D. Schuurmans. "Constraint-Based Optimization and Utility Elicitation Using the Minimax Decision Criterion". Artificial Intelligence (AIJ), 170(8-9), pp 686-713, January 2006. view
8. R. Holte. "Elaboration on Two Points Raised in "Classifier Technology and the Illusion of Progress"". Statistical Science, 21(1), pp 24-26, January 2006. PDFview
9. U. Basu, J. Francis, R. Whittal, J. Stephens, Y. Wang, O. Zaiane, R. Goebel, D. Muench, A. Good, G. Taylor. "Extracellular proteomes of Arabidopsis thaliana and Brassica napus roots: analysis and comparison by MudPIT and LC-MS/MS". Plant and Soil, 286, pp 357-376, January 2006. PDFview
10. R. Greiner, R. Hayward, M. Jankowska, M. Molloy. "Finding Optimal Satisficing Strategies for And-Or Trees". Artificial Intelligence (AIJ), 170, pp 19-58, January 2006. PDFview
11. M. Cutimisu, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, C. Onuczko, M. Carbonaro. "Generating Ambient Behaviors in Computer Role-Playing Games". IEEE, 21(5), pp 19-27, January 2006. PDFview
12. T. Caetano, T. Caelli, D. Schuurmans, D. Barone. "Graphical Models and Point Pattern Matching". IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(10), January 2006. PDFview
13. P. Torma, C. Szepesvari. "Local Importance Sampling: A Novel Technique to Enhance Particle Filtering". Journal of Multimedia (JMM), 1, pp 32-43, January 2006. PDFview
14. L. Kocsis, C. Szepesvari. "Universal Parameter Optimisation in Games Based on SPSA". Machine Learning Journal (MLJ), 63, pp 249-286, January 2006. PDFview

In Conference (refereed)

15. M. Ghavamzadeh, Y. Engel. "Bayesian Policy Gradient Algorithms". Neural Information Processing Systems (NIPS), December 2006. PDFview
16. C. Lee, S. Wang, F. Jiao, D. Schuurmans, R. Greiner. "Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields". Neural Information Processing Systems (NIPS), December 2006. PDFview
17. I. Cheng, R. Goebel. "Perceptually enhanced multimedia processing, visualization and transmission". International Symposium on Multimedia, pp 509-516, December 2006. view
18. X. Su, T. Khoshgoftaar. "Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms". Fifteenth IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp 497-504, November 2006. PDFview
19. Y. Li, J. Harms, R. Holte, R. Meshulam, D. Furcy. "Optimal Traffic-Oblivious Energy-Aware Routing for Multihop Wireless Networks". IEEE, November 2006. PDFview
20. S. Cheng, S. Nilufar, A. Basu, R. Goebel. "Shape tracking and registration for 4d visualization of mri". International Symposium on Visual Computing, pp 253-262, November 2006. view
21. Z. Cai, L. Xu, Y. Shi, M. Salavatipour, R. Goebel, G. Lin. "Using gene clustering to identify discriminatory genes with higher classification accuracy". IEEE Symposium on Bioinformatics and Bioengineering(BIBE), pp 235-242, November 2006. view
22. L. Kocsis, C. Szepesvari. "Bandit Based Monte-Carlo Planning". European Conference on Machine Learning (ECML), Berlin, Germany, pp 282-293, September 2006. PDFview
23. C. Lee, R. Greiner, O. Zaiane. "Efficient Spatial Classification using Decoupled Conditional Random Fields". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, September 2006. PDFview
24. J. Huang, T. Zhu, R. Greiner, D. Zhou, D. Schuurmans. "Information Marginalization on Subgraphs". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, September 2006. PDFview
25. J. Schaeffer. "Learning to Have Fun". European Conference on Machine Learning (ECML), Berlin, Germany, September 2006. view
26. S. Wang, S. Wang, L. Cheng, R. Greiner, D. Schuurmans. "Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model". International Colloquium on Grammatical Inference (ICGI), Chofu, Tokyo, Japan, pp 97-111, September 2006. PDFview
27. M. Littman, N. Ravi, A. Talwar, M. Zinkevich. "An Efficient Optimal-Equilibrium Algorithm for Two-Player Game Trees". Conference on Uncertainty in Artificial Intelligence (UAI), August 2006. view
28. J. Huang, A. Smola, A. Gretton, B. Schoelkopf. "Correcting Sample Selection Bias by Unlabeled Data". Neural Information Processing Systems (NIPS), August 2006. view
29. R. Isukapalli, A. Elgammal, R. Greiner. "Learning Policies for Efficiently Identifying Objects of Many Classes". International Conference on Pattern Recognition (ICPR), Hong Kong, August 2006. PDFview
30. D. Zhou, J. Huang, B. Schoelkopf. "Learning with Hypergraphs: Clustering, Classification, and Embedding". Neural Information Processing Systems (NIPS), August 2006. view
31. N. Ratliff, J. Bagnell, M. Zinkevich. "Maximum Margin Planning". International Conference on Machine Learning (ICML), Pittsburgh, August 2006. view
32. A. Nayak, R. Goebel, M. Orgun, T. Pham. "Taking levi identity seriously: a plea for iterated belief contraction". International Conference on Knowledge Science (ICKS), pp 211-220, August 2006. view
33. F. Jiao, S. Wang, C. Lee, R. Greiner, D. Schuurmans. "Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling". International Conference on Computational Linguistics and the Association for Computational Linguist, July 2006. PDFview
34. D. Szafron, B. Poulin, R. Eisner, P. Lu, R. Greiner, D. Wishart, A. Fyshe, B. Pearcy, C. Macdonell, J. Anvik. "Visual Explanation and Auditing of Evidence with Additive Classifiers". Innovative Applications of Artificial Intelligence, July 2006. PDFview
35. Q. Wang, C. Cherry, D. Lizotte, D. Schuurmans. "Improved Large Margin Dependency Parsing Via Local Constraints and Laplacian Regularization". Computational Natural Language Learning (CONLL), June 2006. PDFview
36. C. Lee, R. Greiner, S. Wang. "Using Query-Specific Variance Estimates to Combine Bayesian Classifiers". International Conference on Machine Learning (ICML), Pittsburgh, June 2006. PDFview
37. M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "A Classification-based Glioma Diffusion Model Using MRI Data". Canadian Conference on Artificial Intelligence (CAI), Quebec City, May 2006. PDFview
38. R. Isukapalli, A. Elgammal, R. Greiner. "Learning to Detect Objects of Many Classes Using Binary Classifiers". European Conference on Computer Vision (ECCV), Graz, Austria, May 2006. PDFview
39. S. Khan, K. Iniewski, W. Myint, Y. Wang, C. Schlegel. "Emerging Short Reach Wireless Technologies: From 802.11n to 60+ GHz mm Wave Radios - A Silicon Perspective". Proceedings of the 2006 international conference on Wireless communications and mobile computing, April 2006. view
40. R. Isukapalli, A. Elgammal, R. Greiner. "Learning to Identify Facial Expression During Detection Using Markov Decision". Automatic Face and Gesture Recognition (FG), Southampton, UK, pp 305-310, April 2006. PDFview
41. X. Wu, R. Goebel, X. Wan, G. Lin. "Whole Genome Composition Distance for Hiv-1 Genotyping". Life Science Society Computational Systems Bioinformatics Conference, pp 179-190, April 2006. view
42. Y. Shi, Z. Cai, L. Xu, W. Ren, R. Goebel, G. Lin. "A model-free greedy gene selection for microarray sample class prediction". IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp 406-413, January 2006. view
43. R. Niewiadomski, J. Amaral, R. Holte. "A Parallel External-Memory Frontier Breadth-First Traversal Algorithm for Clusters of Workstations". International Conference on Parallel Processing (ICPP), pp 531-538, January 2006. PDFview
44. M. Carbonaro, M. Cutimisu, H. Duff, S. Gillis, C. Onuczko, J. Schaeffer, A. Schumacher, J. Siegel, D. Szafron, K. Waugh. "Adapting a Commercial Role-Playing Game for Educational Computer Game Production". GameOn North America, January 2006. PDFview
45. L. Cheng, S. Wang, D. Schuurmans, T. Caelli, S. Vishwantathan. "An online discriminative approach to background subtraction". IEEE, January 2006. PDFview
46. B. Price, R. Greiner, G. Haeubl, A. Flatt. "Automatic Construction of Personalized Customer Interfaces". International Conference on Intelligent User Interfaces (IUI), Sydney, Australia, January 2006. PDFview
47. M. Hlynka, J. Schaeffer. "Automatic Generation of Search Engines". Advances in Computer Games (ACG), pp 23-38, January 2006. PDFview
48. A. Kaboli, M. Bowling, P. Musilek. "Bayesian calibration for Monte Carlo localization". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 964-969, January 2006. PDFview
49. A. Rettinger, M. Zinkevich, M. Bowling. "Boosting expert ensembles for rapid concept recall". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 464--469, January 2006. PDFview
50. T. Wang, P. Poupart, M. Bowling, D. Schuurmans. "Compact, convex upper bound iteration for approximate POMDP planning". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1245-1251, January 2006. PDFview
51. Y. Guo, D. Schuurmans. "Convex structure learning for Bayesian networks: polynomial feature selection and approximate ordering". Conference on Uncertainty in Artificial Intelligence (UAI), January 2006. PDFview
52. L. Xu, D. Wilkinson, F. Southey, D. Schuurmans. "Discriminative Unsupervised Learning of Structured Predictors". International Conference on Machine Learning (ICML), Pittsburgh, January 2006. PDFview
53. U. Zahavi, A. Felner, R. Holte, J. Schaeffer. "Dual Search in Permutation State Spaces". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1076-1081, January 2006. PDFview
54. M. Cutimisu, C. Onuczko, D. Szafron, J. Schaeffer, M. McNaughton, T. Roy, J. Siegel, M. Carbonaro. "Evaluating Pattern Catalogs - The Computer Games Experience". International Conference on Software Engineering (ICSE), pp 132-141, January 2006. PDFview
55. Y. Bjornsson, J. Schaeffer, N. Sturtevant. "Imperfect Information EndGame Databases". Advances in Computer Games (ACG), pp 11-22, January 2006. view
56. L. Cheng, S. Vishwantathan, D. Schuurmans, S. Wang, T. Caelli. "Implicit Online Learning with Kernels". Neural Information Processing Systems (NIPS), January 2006. PDFview
57. A. Geramifard, M. Bowling, R. Sutton. "Incremental least-squares temporal difference learning,". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 356-361, January 2006. PDFview
58. A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Conference on Learning Theory (COLT), January 2006. PDFview
59. M. Bowling, P. McCracken, M. James, J. Neufeld, D. Wilkinson. "Learning predictive state representations using non-blind policies". International Conference on Machine Learning (ICML), Pittsburgh, pp 129-136, January 2006. PDFview
60. M. Antonie, O. Zaiane, R. Holte. "Learning to Use a Learned Model: A Two-Stage Approach to Classification". IEEE, January 2006. PDFview
61. M. Zinkevich, M. Bowling, N. Bard, M. Kan, D. Billings. "Optimal unbiased estimators for evaluating agent performance". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 573-578, January 2006. PDFview
62. N. Sturtevant, M. Zinkevich, M. Bowling. "ProbMaxn: Opponent modeling in n-player games". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1057-1063, January 2006. PDFview
63. F. Jiao, J. Xu, L. Yu, D. Schuurmans. "Protein fold recognition using the gradient boost algorithm". Computational Systems Bioinformatics Conference (CSB), January 2006. PDFview
64. N. Sturtevant, M. Bowling. "Robust game play against unknown opponents". Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp 713-719, January 2006. PDFview
65. L. Xu, K. Crammer, D. Schuurmans. "Robust Support Vector Machine Training Via Convex Outlier Ablation". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, January 2006. PDFview
66. R. Niewiadomski, J. Amaral, R. Holte. "Sequential and Parallel Algorithms for Frontier A* With Delayed Duplicate Detection". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1039-1044, January 2006. PDFview
67. M. Bowling, D. Wilkinson, A. Ghodsi. "Subjective Mapping". National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, USA, pp 1569--1572, January 2006. PDFview
68. J. Huang, T. Zhu, D. Schuurmans. "Web community identification from random walks". European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Berlin, Germany, January 2006. PDFview

In Conference (unrefereed)

69. B. Price, G. Haeubl, R. Greiner. "Automatic Construction of Personalized Customer Interfaces". Marketing Science Conference, May 2006. view

In Workshop

70. N. Young, K. Jewell, D. Block, C. Knox, P. Tang, R. Greiner, D. Wishart. "MetaboLIMS: A General Laboratory Information Management System for Metabolomics". Metabolomics Symposium, October 2006. view
71. J. Patterson, L. Pireddu, D. Szafron, P. Lu, R. Greiner. "Pathway Analyst - Automated Metabolic Pathway Prediction". Metabolomics Symposium, October 2006. view
72. R. Eisner, C. Knox, R. Greiner, D. Wishart. "Predicting Chemical Properties of Small Molecules". Metabolomics Symposium, October 2006. view
73. J. Wagner, R. Greiner, V. Baracos, C. Prado, A. McGeer, T. Marrie, L. Nikolai, M. Lewis, M. Coutouly, D. Wishart. "Using Metabolomic Profiles to Diagnose Patients". Metabolomics Symposium, October 2006. view
74. N. Young, K. Jewell, D. Block, C. Knox, P. Tang, R. Greiner, D. Wishart. "MetaboLIMS: A General Laboratory Information Managment System for Metabolomics". Metabolomics Society Meeting, June 2006. view
75. D. Wishart, L. Li, R. Greiner, T. Marrie, B. Sykes, F. Bamforth, H. Vogel, L. Querengesser. "Metabolomics and the Human Metabolome Project". June 2006. view
76. O. Zaiane, Y. Wang, R. Goebel, G. Taylor. "Frequent subsequence-based protein localization". Data Mining for Biomedical Applications (BioDM), 3916, pp 35-47, April 2006. PDFview

Other Categories

77. A. Murtha, J. Sander, R. Greiner. "A Novel Approach to Constructing more "Intelligent" Planning Target Volumes for Glioma Patients". September 2006. view
78. A. Milstein, T. Wang. "Localization With Dynamic Motion Models: Motion Model Parameters Dynamically in Monte Carlo Localization". Intl. Conf. on Informatics in Control, Automation and Robotics, August 2006. view
79. S. Nagaraj, S. Khan, C. Schlegel, M. Burnashev. "On Preamble Detection In Packet Based Wireless Networks". Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on, July 2006. view
80. C. Qiu, J. Li, P. Messenger, T. Zhu, R. Greiner. "Investigating Online Preference Construction and Purchase Propensity under Customized Promotions". Distinguished Scholars Retreat, UofAlberta Business, May 2006. view
81. D. Schuurmans, F. Southey, D. Wilkinson, Y. Guo. "Metric-based approaches for semi-supervised regression and classification". Semi-Supervised Learning, MIT Press, (ed: O. Chapelle, B. Schoelkopf, A. Zein), January 2006. PDFview
University of Alberta Logo AICML Logo