【信息学院】Computational sustainability in Ecological Science and Ecosystem Management

报告题目：Computational sustainability in Ecological Science and Ecosystem Management

报告人：Thomas G. Dietterich（Oregon State University，School of Electrical Engineering and Computer Science）

时 间：2014-6-17（周二）9:30-11:00

地 点：10-420（信息学院四楼会议室）

人物简介：Thomas G. Dietterich received his Ph.D. degree at StanfordUniversity in 1984. He was selected to be a “Distinguished Professor” in 2013 by OregonStateUniversity. He is one of the founders of the field of Machine Learning. Among his research contributions was the application of error-correcting output coding to multiclass classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models.

He served as Executive Editor of Machine Learning (1992-98) and helped co-found the Journal of Machine Learning Research. He is currently the editor of the MIT Press series on Adaptive Computation and Machine Learning. He also served as co-editor of the Morgan-Claypool Synthesis Series on Artificial Intelligence and Machine Learning. He has organized several conferences and workshops including serving as Technical Program Co-Chair of the National Conference on Artificial Intelligence (AAAI-90), Technical Program Chair of the Neural Information Processing Systems (NIPS-2000) and General Chair of NIPS-2001 He is a Fellow of the ACM, AAAI, and AAAS. He served as founding President of the International Machine Learning Society, and he is currently a member of the Steering Committee of the Asian Conference on Machine Learning.