Thomas Dietterich
homepage:http://web.engr.oregonstate.edu/~tgd/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

The focus of my research is machine learning: How can we make computer systems that adapt and learn from their experience? How can we combine human knowledge with massive data sets to expand scientific knowledge and build more useful computer applications? My laboratory combines research on machine learning fundamentals with applications to problems in science and engineering.


Lectures:

keynote
flag Challenges for Machine Learning in Computational Sustainability
as author at  AI for Good Foundation (AI4Good) "Artificial Intelligence to Help the World",
7389 views
  invited talk
flag Machine Learning in Ecosystem Informatics and Sustainability
as author at  21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena,
together with: Carlos Guestrin (introducer),
5215 views
lecture
flag Debate
as coauthor at  24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
together with: Prasad Tadepalli (coauthor), Pedro Domingos (coauthor), Lise Getoor (coauthor), Bernhard Pfahringer (coauthor),
4581 views
  lecture
flag Declarative Vs. Procedural
as author at  24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
5606 views
lecture
flag ILP Invited Panel - Structured Machine Learning: The Next 10 Years
as coauthor at  24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
together with: Pedro Domingos (coauthor), Lise Getoor (coauthor), Bernhard Pfahringer (coauthor), Stephen Muggleton (coauthor),
9017 views