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Thomas G. Dietterich
Senator, T. E., H. G. Goldberg, A. Memory, W. T. Young, B. Rees, R. Pierce, D. Huang, M. Reardon, D. A. Bader, E. Chow, et al., "Detecting insider threats in a real corporate database of computer usage activity", Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining - KDD '13, Chicago, Illinois, ACM Press, pp. 1393, 08/2013.
Dietterich, T. G., M. Alkaee Taleghan, and M. Crowley, "PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs", AAAI Conference on Artificial Intelligence, AAAI-2013, Bellevue, Washington, 07/2013.
Sheldon, D., T. Sun, A. Kumar, and T. G. Dietterich, "Approximate Inference in Collective Graphical Models", International Conference on Machine Learning, ICML-2013, Atlanta, pp. 1004–1012, 06/2013.
Liu, L. - P., and T. G. Dietterich, "A Conditional Multinomial Mixture Model for Superset Label Learning", NIPS, Lake Tahoe, NV, pp. 557-565, 12/2012.
Zhang, X. S., D. S. Appling, E. T. Whitaker, E. B. Trewhitt, L. Ding, J. R. Michaelis, D. L. McGuinness, J. A. Hendler, J. R. Doppa, C. Parker, et al., "An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration", ACM Transactions on Intelligent Systems and Technology, vol. 3, issue 4, pp. 1 - 38, 09/2012.
Judah, K., A. Fern, and T. G. Dietterich, "Active Imitation Learning via Reduction to I.I.D. Active Learning", Uncertainty in Articial Intelligence: Proceedings of the Twenty-Eighth Conference (2012), Catalina Island, CA , pp. 428-437, 08/2012.
Hostetler, J., E. W. Dereszynski, T. G. Dietterich, and A. Fern, "Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games", Uncertainty in Articial Intelligence: Proceedings of the Twenty-Eighth Conference (2012), Catalina Island, CA, pp. 367-376, 08/2012.
Mehta, N., S. Ray, P. Tadepalli, and T. G. Dietterich, "Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning", AI Magazine, vol. 32, issue 1, 2011.
Hutchinson, R. A., L. - P. Liu, and T. G. Dietterich, "Incorporating Boosted Regression Trees into Ecological Latent Variable Models", AAAI, San Francisco, California, 08/2011.
Dereszynski, E. W., and T. G. Dietterich, "Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns", ACM Transactions on Sensor Networks, vol. 8, issue 1, pp. 1 - 36, 08/2011.
Doppa, J. R., M. NasrEsfahani, M. S. Sorower, J. Irvine, T. G. Dietterich, X. Z. Fern, and P. Tadepalli, "Learning Rules from Incomplete Examples via Observation Models", IJCAI 2011 Workshop on Learning by Reading and its Applications in Intelligent Question-Answering, Barcelona, Catalonia, Spain, 07/2011.
Bao, X., and T. G. Dietterich, "FolderPredictor: Reducing the Cost of Reaching the Right Folder", ACM Transactions on Intelligent Systems and Technology, vol. 2, issue 1, 01/2011.
Dietterich, T. G., X. Bao, V. Keiser, and J. Shen, "Machine Learning Methods for High Level Cyber Situation Awareness", Cyber Situational Awareness: Springer, pp. 227-247, 2010.
Larios, N., B. Soran, L. G. Shapiro, G. Martinez-Munoz, J. Lin, and T. G. Dietterich, "Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification", 2010 20th International Conference on Pattern Recognition (ICPR)2010 20th International Conference on Pattern Recognition, Istanbul, Turkey, IEEE, pp. 2624 - 2627, 10/2010.
Lytle, D. A., G. Martinez-Munoz, W. Zhang, N. Larios, L. G. Shapiro, R. Paasch, A. Moldenke, E. N. Mortensen, S. Todorovic, and T. G. Dietterich, "Automated processing and identification of benthic invertebrate samples", Journal of the North American Benthological Society, vol. 29, issue 3, pp. 867 - 874, 09/2010.