Thomas Dietterich
Thomas Dietterich
Distinguished Professor (Emeritus), Computer Science, Oregon State University
Adresse e-mail validée de cs.orst.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Ensemble methods in machine learning
TG Dietterich
International workshop on multiple classifier systems, 1-15, 2000
76902000
Approximate statistical tests for comparing supervised classification learning algorithms
TG Dietterich
Neural computation 10 (7), 1895-1923, 1998
36411998
Solving multiclass learning problems via error-correcting output codes
TG Dietterich, G Bakiri
Journal of artificial intelligence research 2, 263-286, 1994
35951994
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
31512000
Solving the multiple instance problem with axis-parallel rectangles
TG Dietterich, RH Lathrop, T Lozano-Pérez
Artificial intelligence 89 (1-2), 31-71, 1997
28071997
Machine-learning research: Four Current Directions
TG Dietterich
AI magazine 18 (4), 97, 1997
19821997
Hierarchical reinforcement learning with the MAXQ value function decomposition
TG Dietterich
Journal of artificial intelligence research 13, 227-303, 2000
17162000
Learning with many irrelevant features
H Almuallim, TG Dietterich
Oregon State University, 1991
10181991
Machine learning for sequential data: A review
TG Dietterich
Joint IAPR international workshops on statistical techniques in pattern …, 2002
7912002
Benchmarking neural network robustness to common corruptions and perturbations
D Hendrycks, T Dietterich
arXiv preprint arXiv:1903.12261, 2019
7682019
Ensemble learning
TG Dietterich
The handbook of brain theory and neural networks 2 (1), 110-125, 2002
7472002
Pruning adaptive boosting
DD Margineantu, TG Dietterich
ICML 97, 211-218, 1997
6951997
Learning boolean concepts in the presence of many irrelevant features
H Almuallim, TG Dietterich
Artificial intelligence 69 (1-2), 279-305, 1994
6481994
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
5992014
Readings in machine learning
J Shavlik, T Dietterich
Morgan Kaufmann Publishers., 1990
550*1990
A reinforcement learning approach to job-shop scheduling
W Zhang, TG Dietterich
IJCAI 95, 1114-1120, 1995
5301995
Overfitting and undercomputing in machine learning
T Dietterich
ACM computing surveys (CSUR) 27 (3), 326-327, 1995
5211995
Error-Correcting Output Coding Corrects Bias and Variance
EB Kong, TG Dietterich
Machine Learning Proceedings 1995: Proceedings of the Twelfth International …, 1995
5161995
A comparative review of selected methods for learning from examples
TG Dietterich, RS Michalski
Machine learning, 41-81, 1983
5071983
To transfer or not to transfer
MT Rosenstein, Z Marx, LP Kaelbling, TG Dietterich
NIPS 2005 workshop on transfer learning 898, 1-4, 2005
4562005
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20