Richard Maclin
Richard Maclin
Professor of Computer Science, University of Minnesota Duluth
Verified email at d.umn.edu - Homepage
Title
Cited by
Cited by
Year
Popular ensemble methods: An empirical study
D Opitz, R Maclin
Journal of Artificial Intelligence Research 11, 169-198, 1999
23261999
An empirical evaluation of bagging and boosting
R Maclin, D Opitz
AAAI/IAAI 1997, 546-551, 1997
3281997
Creating advice-taking reinforcement learners
R Maclin, JW Shavlik
Machine Learning 22 (1-3), 251-281, 1996
2351996
Exploiting unlabeled data in ensemble methods
KP Bennett, A Demiriz, R Maclin
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
2052002
Combining the predictions of multiple classifiers: Using competitive learning to initialize neural networks
R Maclin, JW Shavlik
IJCAI, 524-531, 1995
1531995
Using advice to transfer knowledge acquired in one reinforcement learning task to another
L Torrey, T Walker, J Shavlik, R Maclin
European Conference on Machine Learning, 412-424, 2005
1182005
Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression
R Maclin, J Shavlik, L Torrey, T Walker, E Wild
AAAI, 819-824, 2005
1142005
Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding
R Maclin, JW Shavlik
Machine Learning 11 (2-3), 195-215, 1993
931993
Skill acquisition via transfer learning and advice taking
L Torrey, J Shavlik, T Walker, R Maclin
European Conference on Machine Learning, 425-436, 2006
742006
Incorporating advice into agents that learn from reinforcements
R Maclin, JW Shavlik
University of Wisconsin-Madison. Computer Sciences Department, 1994
731994
Refining algorithms with knowledge-based neural networks: Improving the Chou-Fasman algorithm for protein folding
R Maclin, JW Shavli
in Computational Learning Theory and Natural Learning Systems, 1992
731992
Relational macros for transfer in reinforcement learning
L Torrey, J Shavlik, T Walker, R Maclin
International Conference on Inductive Logic Programming, 254-268, 2007
652007
Refining domain theories expressed as finite-state automata
R Maclin, JW Shavlik
Machine Learning Proceedings 1991, 524-528, 1991
581991
A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain.
M Joshi, T Pedersen, R Maclin
IICAI, 3449-3468, 2005
572005
An empirical evaluation of bagging and boosting for artificial neural networks
DW Opitz, RF Maclin
Proceedings of International Conference on Neural Networks (ICNN'97) 3, 1401 …, 1997
391997
Ensembles as a sequence of classifiers
L Asker, R Maclin
IJCAI (2), 860-865, 1997
351997
Boosting classifiers regionally
R Maclin
AAAI/IAAI, 700-705, 1998
321998
Online knowledge-based support vector machines
G Kunapuli, KP Bennett, A Shabbeer, R Maclin, J Shavlik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
292010
Knowledge-based support-vector regression for reinforcement learning
R Maclin, J Shavlik, T Walker, L Torrey
Reasoning, Representation, and Learning in Computer Games, 61, 2005
232005
A simple and effective method for incorporating advice into kernel methods
R Maclin, J Shavlik, T Walker, L Torrey
Proceedings of the National Conference on Artificial Intelligence 21 (1), 427, 2006
212006
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