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
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
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
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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