Richard Maclin
Richard Maclin
Professor of Computer Science, University of Minnesota Duluth
Verified email at - Homepage
Cited by
Cited by
Popular ensemble methods: An empirical study
D Opitz, R Maclin
Journal of Artificial Intelligence Research 11, 169-198, 1999
An empirical evaluation of bagging and boosting
R Maclin, D Opitz
AAAI/IAAI 1997, 546-551, 1997
Creating advice-taking reinforcement learners
R Maclin, JW Shavlik
Machine Learning 22 (1), 251-281, 1996
Exploiting unlabeled data in ensemble methods
KP Bennett, A Demiriz, R Maclin
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
Combining the predictions of multiple classifiers: Using competitive learning to initialize neural networks
R Maclin, JW Shavlik
IJCAI 95, 524-531, 1995
Using advice to transfer knowledge acquired in one reinforcement learning task to another
L Torrey, T Walker, J Shavlik, R Maclin
Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005
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
Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding
R Maclin, JW Shavlik
Machine Learning 11, 195-215, 1993
Skill acquisition via transfer learning and advice taking
L Torrey, J Shavlik, T Walker, R Maclin
European Conference on Machine Learning, 425-436, 2006
Incorporating advice into agents that learn from reinforcements
R Maclin, JW Shavlik
University of Wisconsin-Madison. Computer Sciences Department, 1994
Relational macros for transfer in reinforcement learning
L Torrey, J Shavlik, T Walker, R Maclin
Inductive Logic Programming: 17th International Conference, ILP 2007 …, 2008
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
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
Ensembles as a sequence of classifiers
L Asker, R Maclin
IJCAI (2), 860-865, 1997
Transfer learning via advice taking
L Torrey, J Shavlik, T Walker, R Maclin
Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard …, 2010
Refining algorithms with knowledge-based neural networks: improving the Chou-Fasman algorithm for protein folding
R Maclin, JW Shavlik
Computational learning theory and natural learning systems 1, 249-286, 1992
Online knowledge-based support vector machines
G Kunapuli, KP Bennett, A Shabbeer, R Maclin, J Shavlik
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
Boosting classifiers regionally
R Maclin
AAAI/IAAI, 700-705, 1998
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
Why I didn’t report: Reasons for not reporting sexual violence as stated on Twitter
CM Reich, GD Anderson, R Maclin
Journal of aggression, maltreatment & trauma 31 (4), 478-496, 2022
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