2000
8.1k
cites
Thomas G. Dietterich
Faculty
Bayesian Modeling and Causal InferenceMachine Learning and AlgorithmsMachine Learning and Data ClassificationReinforcement Learning in Robotics
About
Thomas G. Dietterich is a Computer Science scholar at Oregon State University. Research spans Bayesian Modeling and Causal Inference, Machine Learning and Algorithms, Machine Learning and Data Classification. 290 works, 36k citations (h-index 67).
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Affiliation on publications · Advanced Research + Invention Agency
Most-cited work
1998
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
Neural ComputationTop-listed
3.8k
cites
2000
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
Machine Learning OATop-listed
3k
cites