OREGON STATE UNIVERSITY

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Biblio

Found 108 results
Filters: Author is Dietterich, Thomas G.  [Clear All Filters]
2007
Dietterich, T. G., "Machine Learning in Ecosystem Informatics", Discovery Science, vol. 4755, Sendai, Japan, Springer, pp. 9-25, 10/2007.
Mortensen, E. N., E. L. Delgado, H. Deng, D. A. Lytle, A. Moldenke, R. Paasch, L. G. Shapiro, P. Wu, W. Zhang, and T. G. Dietterich, "Pattern Recognition for Ecological Science and Environmental Monitoring: An initial report", Automated Taxon Identification in Systematics, Boca Raton, CRC Press, pp. 189-206, 2007.
Deng, H., W. Zhang, E. N. Mortensen, T. G. Dietterich, and L. G. Shapiro, "Principal Curvature-Based Region Detector for Object Recognition", 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, IEEE, pp. 1 - 8, 06/2007.
Dereszynski, E. W., and T. G. Dietterich, "Probabilistic models for anomaly detection in remote sensor data streams", Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence (UAI-2007), Vancouver, BC Canada, pp. 75-82, 07/2007.
Peterson, C., R. Paasch, P. Ge, and T. G. Dietterich, "Product innovation for interdisciplinary design under changing requirements", International Conference on Engineering Design (ICED2007), Paris, France, 08/2007.
Shen, J., L. Li, and T. G. Dietterich, "Real-Time Detection of Task Switches of Desktop Users", Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, pp. 2868-2873, 01/2007.
Stumpf, S., V. Rajaram, L. Li, M. M. Burnett, T. G. Dietterich, E. Sullivan, R. Drummond, and J. L. Herlocker, "Toward harnessing user feedback for machine learning", Proceedings of the 12th International Conference on Intelligent User Interfaces - IUI '07, Honolulu, Hawaii, ACM Press, pp. 82, 01/2007.
Stumpf, S., E. Fitzhenry, and T. G. Dietterich, "The Use of Provenance in Information Retrieval", Workshop on Principles of Provenance (PROPR), Edinburgh, Scotland, 11/2007.
2006
Bao, X., J. L. Herlocker, and T. G. Dietterich, "Fewer clicks and less frustration", Proceedings of the 11th International Conference on Intelligent User Interfaces - IUI '06, Sydney, Australia, ACM Press, pp. 178-185, 02/2006.
Zhang, W., H. Deng, T. G. Dietterich, and E. N. Mortensen, "A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions", 18th International Conference on Pattern Recognition (ICPR'06), Hong Kong, China, IEEE, pp. 778 - 782, 06/2006.
Shen, J., L. Li, T. G. Dietterich, and J. L. Herlocker, "A hybrid learning system for recognizing user tasks from desktop activities and email messages", Proceedings of the 11th International Conference on Intelligent User Interfaces - IUI '06, Sydney, Australia, ACM Press, pp. 86-92, 02/2006.
Langford, W. T., S. E. Gergel, T. G. Dietterich, and W. Cohen, "Map Misclassification Can Cause Large Errors in Landscape Pattern Indices: Examples from Habitat Fragmentation", Ecosystems, vol. 9, issue 3, pp. 474 - 488, 4/2006.
Deng, H., E. N. Mortensen, L. G. Shapiro, and T. G. Dietterich, "Reinforcement Matching Using Region Context", 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), New York, NY, IEEE, pp. 11 - 11, 06/2006.
2005
Zubek, V B., and T. G. Dietterich, "Integrating Learning from Examples into the Search for Diagnostic Policies", Journal of Artificial Intelligence Research - JAIR, vol. 24, pp. 263-303, 08/2005.
Natarajan, S., P. Tadepalli, T. G. Dietterich, and A. Fern, "Learning first-order probabilistic models with combining rules", Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany, 08/2005.
Altendorf, E., A. Restificar, and T. G. Dietterich, "Learning from Sparse Data by Exploiting Monotonicity Constraints", Proceedings of the Proceedings of the Twenty-First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-05), Arlington, Virginia, AUAI Press, pp. 18-26, 07/2005.
Stumpf, S., X. Bao, A. N. Dragunov, T. G. Dietterich, J. L. Herlocker, L. Li, and J. Shen, "Predicting user tasks: I know what you’re doing", In 20th National Conference on Artificial Intelligence (AAAI-05), Workshop on Human Comprehensible Machine Learning, Pittsburgh, Pennsylvania, Press, 07/2005.
Dragunov, A. N., T. G. Dietterich, K. Johnsrude, M. R. McLaughlin, L. Li, and J. L. Herlocker, "TaskTracer: a desktop environment to support multi-tasking knowledge workers", International Conference on Intelligent User Interfaces (IUI-2005), San Diego, CA, pp. 75-82, 01/2005.
Rosenstein, M. T., Z. Marx, L. Pack Kaelbling, and T. G. Dietterich, "To transfer or not to transfer", In NIPS’05 Workshop, Inductive Transfer: 10 Years Later, Whistler, BC, 12/2005.
Marx, Z., M. T. Rosenstein, L. Pack Kaelbling, and T. G. Dietterich, "Transfer learning with an ensemble of background tasks", NIPS 2005 Workshop on Transfer Learning, Whistler, BC, 12/2005.
2004
Valentini, G., T. G. Dietterich, and N. Cristianini, "Bias-variance analysis of support vector machines for the development of svm-based ensemble methods", Journal of Machine Learning Research, vol. 5, pp. 725–775, 07/2004.
Wu, P., and T. G. Dietterich, "Improving SVM accuracy by training on auxiliary data sources", Twenty-first international Conference on Machine Learning - ICML '04, Banff, Alberta, Canada, ACM Press, pp. 110, 07/2004.
Dietterich, T. G., Learning and Reasoning, : School of Electrical Engineering and Computer Science, Oregon State University, 2004.
Barto, A. G., and T. G. Dietterich, "Reinforcement learning and its relationship to supervised learning", Handbook of Learning and Approximate Dynamic Programming, Piscataway, NJ, Wiley Interscience/IEEE Press, pp. 47-64, 2004.
Dietterich, T. G., A. Ashenfelter, and Y. Bulatov, "Training conditional random fields via gradient tree boosting", Twenty-first international Conference on Machine Learning - ICML '04, Banff, Alberta, Canada, ACM Press, pp. 28, 07/2004.

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