Thomas Dietterich
Thomas Dietterich
Distinguished Professor (Emeritus), Computer Science, Oregon State University
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.orst.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Ensemble methods in machine learning
TG Dietterich
International workshop on multiple classifier systems, 1-15, 2000
73502000
Solving multiclass learning problems via error-correcting output codes
TG Dietterich, G Bakiri
Journal of artificial intelligence research 2, 263-286, 1994
35261994
Approximate statistical tests for comparing supervised classification learning algorithms
TG Dietterich
Neural computation 10 (7), 1895-1923, 1998
35161998
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
31002000
Solving the multiple instance problem with axis-parallel rectangles
TG Dietterich, RH Lathrop, T Lozano-Pérez
Artificial intelligence 89 (1-2), 31-71, 1997
27301997
Machine-learning research: Four Current Directions
TG Dietterich
AI magazine 18 (4), 97, 1997
19421997
Hierarchical reinforcement learning with the MAXQ value function decomposition
TG Dietterich
Journal of artificial intelligence research 13, 227-303, 2000
16422000
Learning with many irrelevant features
H Almuallim, TG Dietterich
Oregon State University, 1991
10251991
Machine learning for sequential data: A review
TG Dietterich
Joint IAPR international workshops on statistical techniques in pattern …, 2002
7722002
Ensemble learning
TG Dietterich
The handbook of brain theory and neural networks 2, 110-125, 2002
6982002
Pruning adaptive boosting
DD Margineantu, TG Dietterich
ICML 97, 211-218, 1997
6791997
Learning boolean concepts in the presence of many irrelevant features
H Almuallim, TG Dietterich
Artificial intelligence 69 (1-2), 279-305, 1994
6381994
Benchmarking neural network robustness to common corruptions and perturbations
D Hendrycks, T Dietterich
arXiv preprint arXiv:1903.12261, 2019
5582019
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
5552014
Readings in machine learning
J Shavlik, T Dietterich
Morgan Kaufmann Publishers., 1990
536*1990
A reinforcement learning approach to job-shop scheduling
W Zhang, TG Dietterich
IJCAI 95, 1114-1120, 1995
5171995
A comparative review of selected methods for learning from examples
TG Dietterich, RS Michalski
Machine learning, 41-81, 1983
5131983
Error-Correcting Output Coding Corrects Bias and Variance
EB Kong, TG Dietterich
Machine Learning Proceedings 1995: Proceedings of the Twelfth International …, 1995
5111995
Overfitting and undercomputing in machine learning
T Dietterich
ACM computing surveys (CSUR) 27 (3), 326-327, 1995
4681995
A model of the mechanical design process based on empirical data
DG Ullman, TG Dietterich, LA Stauffer
Ai Edam 2 (1), 33-52, 1988
4391988
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Artikkelit 1–20