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
57932000
Solving multiclass learning problems via error-correcting output codes
TG Dietterich, G Bakiri
Journal of artificial intelligence research 2, 263-286, 1994
31711994
Approximate statistical tests for comparing supervised classification learning algorithms
TG Dietterich
Neural computation 10 (7), 1895-1923, 1998
28441998
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
26502000
Solving the multiple instance problem with axis-parallel rectangles
TG Dietterich, RH Lathrop, T Lozano-Pérez
Artificial intelligence 89 (1-2), 31-71, 1997
23281997
Machine-learning research: Four Current Directions
TG Dietterich
AI magazine 18 (4), 97, 1997
17831997
Hierarchical reinforcement learning with the MAXQ value function decomposition
TG Dietterich
Journal of artificial intelligence research 13, 227-303, 2000
14062000
Learning with many irrelevant features
H Almuallim, TG Dietterich
Oregon State University, 1991
9381991
Machine learning for sequential data: A review
TG Dietterich
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2002
6492002
Pruning adaptive boosting
DD Margineantu, TG Dietterich
ICML 97, 211-218, 1997
6051997
Learning boolean concepts in the presence of many irrelevant features
H Almuallim, TG Dietterich
Artificial Intelligence 69 (1-2), 279-305, 1994
5891994
Data Mining: Practical Machine Learning Tools and Techniques.
Y Zhang, D Lv, R Guo, TG Dietterich, ZH Zhou, C Zhang, Y Ma, ...
Journal of Software Engineering 11 (1), 97-136, 1997
5071997
Ensemble learning
TG Dietterich
The handbook of brain theory and neural networks 2, 110-125, 2002
5052002
Readings in machine learning
J Shavlik, T Dietterich
Morgan Kaufmann Publishers., 1990
489*1990
Error-Correcting Output Coding Corrects Bias and Variance
EB Kong, TG Dietterich
Machine Learning Proceedings 1995: Proceedings of the Twelfth International …, 1995
4661995
A comparative review of selected methods for learning from examples
TG Dietterich, RS Michalski
Machine learning, 41-81, 1983
4551983
A reinforcement learning approach to job-shop scheduling
W Zhang, TG Dietterich
IJCAI 95, 1114-1120, 1995
4471995
A model of the mechanical design process based on empirical data
DG Ullman, TG Dietterich, LA Stauffer
Ai Edam 2 (1), 33-52, 1988
4011988
The eBird enterprise: an integrated approach to development and application of citizen science
BL Sullivan, JL Aycrigg, JH Barry, RE Bonney, N Bruns, CB Cooper, ...
Biological Conservation 169, 31-40, 2014
3602014
Learning at the knowledge level
TG Dietterich
Machine Learning 1 (3), 287-315, 1986
3351986
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