Thomas Dietterich
Thomas Dietterich
Distinguished Professor (Emeritus), Computer Science, Oregon State University
Verified email at cs.orst.edu - Homepage
TitleCited byYear
Ensemble methods in machine learning
TG Dietterich
International workshop on multiple classifier systems, 1-15, 2000
49222000
Solving multiclass learning problems via error-correcting output codes
TG Dietterich, G Bakiri
Journal of artificial intelligence research 2, 263-286, 1994
29541994
Approximate statistical tests for comparing supervised classification learning algorithms
TG Dietterich
Neural computation 10 (7), 1895-1923, 1998
26651998
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
TG Dietterich
Machine learning 40 (2), 139-157, 2000
24162000
Solving the multiple instance problem with axis-parallel rectangles
TG Dietterich, RH Lathrop, T Lozano-Pérez
Artificial intelligence 89 (1-2), 31-71, 1997
21271997
Machine-learning research: Four Current Directions
TG Dietterich
AI magazine 18 (4), 97, 1997
17291997
Hierarchical reinforcement learning with the MAXQ value function decomposition
TG Dietterich
Journal of Artificial Intelligence Research 13, 227-303, 2000
12592000
Learning with many irrelevant features
H Almuallim, TG Dietterich
Oregon State University, 1991
9071991
Machine learning for sequential data: A review
TG Dietterich
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2002
5752002
Learning boolean concepts in the presence of many irrelevant features
H Almuallim, TG Dietterich
Artificial Intelligence 69 (1-2), 279-305, 1994
5691994
Pruning adaptive boosting
DD Margineantu, TG Dietterich
ICML 97, 211-218, 1997
5571997
Machine learning and data mining
TM Mitchell
Communications of the ACM 42 (11), 30-36, 1999
5221999
Readings in machine learning
J Shavlik, T Dietterich
Morgan Kaufmann Publishers., 1990
478*1990
Ensemble learning
TG Dietterichl
4662002
Error-Correcting Output Coding Corrects Bias and Variance
EB Kong, TG Dietterich
Machine Learning Proceedings 1995: Proceedings of the Twelfth International …, 1995
4421995
Error-correcting output coding corrects bias and variance
EB Kong, TG Dietterich
Machine Learning Proceedings 1995, 313-321, 1995
4421995
A comparative review of selected methods for learning from examples
TG Dietterich, RS Michalski
Machine Learning, 41-81, 1983
4351983
A reinforcement learning approach to job-shop scheduling
W Zhang, TG Dietterich
IJCAI 95, 1114-1120, 1995
4251995
A model of the mechanical design process based on empirical data
DG Ullman, TG Dietterich, LA Stauffer
Ai Edam 2 (1), 33-52, 1988
3811988
Learning at the knowledge level
TG Dietterich
Machine Learning 1 (3), 287-315, 1986
3421986
The system can't perform the operation now. Try again later.
Articles 1–20