Talks by Thomas G. Dietterich


Challenges for Machine Learning in Computational Sustainability, Posner Lecture, NIPS-2012, South Lake Tahoe, December 5, 2012. PDF slides. Video at videolectures.net.

Machine Learning for Ecological Science and Environmental Policy, Jornadas Chilenas de Computacion, Tutorial, Valparaiso, Chile, November 14, 2012. PDF slides.

Graphical Models and Flexible Classifiers: Bridging the Gap with Boosted Regression Trees, Jornadas Chilenas de Computacion, Keynote Speech, Valparaiso, Chile. November 12, 2012. PDF slides.

Machine Learning and Computational Sustainability, Keynote Speech, Brazilian Society for Neural Networks, Curitiba, Parana, Brazil. October 22, 2012. PDF slides.

Bridging the two cultures: Latent variable statistical modeling with boosted regression trees, Ecological Society of America (ESA-2012), Portland, Oregon, August 7, 2012. PDF slides.

Machine Learning Methods for Timing of Biological Events. Second Annual Workshop on Understanding Climate Change from Data, Minneapolis, Minnesota, August 6-7, 2012 PDF slides.

Computational Sustainabiility: Applying Advanced Computing to Ecological Science and Ecosystem Management, Invited Speech, 4th International Symposium on IT Convergence Engineering (ISITCE 2012), Seoul, S. Korea, July 13, 2012. PDF slides.

Machine Learning for Computational Sustainability, Invited Talk, Third International Green Computing Conference, San Jose, California, June 6, 2012. PDF slides.

Novel machine learning methods for learning models of bird distribution and migration from citizen science data. NICTA Canberra, May 15, 2012. PDF slides.

Challenges for Machine Learning in Ecological Science and Environmental Management. Research Triangle Distinguished Lecture Series, January 23, 2012. PDF slides.

Graphical Models and Flexible Classifiers: Bridging the Gap with Boosted Regression Trees. The 2011 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2011), Keynote Speech, November 12, 2011. PDF slides.

Inferring moth emergence from abundance data: A novel mathematical approach using birth-death contingency tables. Ecological Society of America (ESA-2011), Austin, Texas, August 10, 2011. PDF slides.

Computer Vision Seminar, Caltech, January 19, 2011. PDF slides.

First Asian Conference on Machine Learning, Nanjing, China, November 1, 2009. PDF slides.

Machine Learning in Ecosystem Informatics, International Joint Conference on Artificial Intelligence, Pasadena, CA. July 16, 2009. PDF slides.

Activity Recognition in TaskTracer and CALO, Invited Talk, Workshop on Plan, Activity, and Intent Recognition, International Joint Conference on Artificial Intelligence, Pasadena, CA, July 11, 2009. PDF slides

Learning in an Integrated Intelligent System: Examples from the CALO System, Keynote Address, IBM Haifa Machine Learning Workshop, Haifa, Israel, May 25, 2008. PDF slides.

Machine Learning in Ecosystem Informatics, Keynote Address, Discovery Science 2007, October 1, 2007. PDF slides.

Hierarchical Reinforcement Learning, Air Force Research Laboratory, Rome, NY, September 21, 2006. PDF slides.

Three Challenges for Machine Learning Research, IBERAMIA-2004 (Iberian-American Artificial Intelligence Conference), Puebla, Mexico, November 24, 2004. PDF slides.

Fitting Conditional Random Fields via Gradient Boosting, Department of Computer and Information Sciences, University of Pennsylvania, April 21, 2003. PDF slides.

Sequential Supervised Learning: General Methods for Sequence Labeling and Segmentation. Invited talk, 2003 IEEE International Conference on Data Mining, Melbourne, Florida. PDF slides.

Low Bias Bagged Support Vector Machines. Giorgio Valentini and Thomas G. Dietterich. 2003 International Conference on Machine Learning. PDF slides.

Bias-Variance Analysis of Ensemble Learning. Lecture presented at the IIASS International School on Neural Nets "E.R. Caianiello" 7th Course, Ensemble Methods for Learning Machines. 23 September, 2002. Power point presentation.

Ensembles for Cost-Sensitive Learning. Lecture presented at the IIASS International School on Neural Nets "E.R. Caianiello" 7th Course, Ensemble Methods for Learning Machines. 25 September, 2002. Power point presentation.

Machine Learning for Sequential Data. Invited talk delivered to the Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2002) and Statistical Pattern Recognition (SPR 2002). Windsor, Canada, August 6-9, 2002. Power point presentation.

Machine Learning: Making Computer Science Scientific Forsythe Memorial Lecture, Stanford University, March 18, 2002. Power Point presentation.

Hierarchical Reinforcement Learning Tutorial given at The Sixteenth International Conference on Machine Learning Bled, Slovenia, June 27, 1999. Postscript slides.

Connectionist Supervised Learning: An Engineering Approach, Tutorial co-authored with Andreas S. Weigend and given at Eleventh Internation Conference on Machine Learning (ML-94), New Brunswick, NJ, July, 1994. Postscript slides.

Machine Learning: Issues, Answers, and Quandaries. Invited Speech, Ninth National Conference on Artificial Intelligence (AAAI-91), July, 1991. Postscript slides.