| Popular ensemble methods: An empirical study D Opitz, R Maclin Journal of Artificial Intelligence Research 11, 169-198, 1999 | 2686 | 1999 |
| An empirical evaluation of bagging and boosting R Maclin, D Opitz AAAI/IAAI 1997, 546-551, 1997 | 351 | 1997 |
| Creating advice-taking reinforcement learners R Maclin, JW Shavlik Machine Learning 22 (1), 251-281, 1996 | 256 | 1996 |
| Exploiting unlabeled data in ensemble methods KP Bennett, A Demiriz, R Maclin Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 222 | 2002 |
| Combining the predictions of multiple classifiers: Using competitive learning to initialize neural networks R Maclin, JW Shavlik IJCAI, 524-531, 1995 | 164 | 1995 |
| 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 | 129 | 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 | 121 | 2005 |
| 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 | 100 | 1993 |
| Popular ensemble methods: An empirical study R Maclin, D Opitz ArXiv e-prints, arXiv: 1106.0257, 2011 | 95 | 2011 |
| Incorporating advice into agents that learn from reinforcements R Maclin, JW Shavlik University of Wisconsin-Madison. Computer Sciences Department, 1994 | 85 | 1994 |
| Skill acquisition via transfer learning and advice taking L Torrey, J Shavlik, T Walker, R Maclin European Conference on Machine Learning, 425-436, 2006 | 78 | 2006 |
| Relational macros for transfer in reinforcement learning L Torrey, J Shavlik, T Walker, R Maclin International Conference on Inductive Logic Programming, 254-268, 2007 | 73 | 2007 |
| 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 | 73 | 1992 |
| Refining domain theories expressed as finite-state automata R Maclin, JW Shavlik Machine Learning Proceedings 1991, 524-528, 1991 | 61 | 1991 |
| 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 | 59 | 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 | 45 | 1997 |
| Ensembles as a sequence of classifiers L Asker, R Maclin IJCAI (2), 860-865, 1997 | 36 | 1997 |
| Boosting classifiers regionally R Maclin AAAI/IAAI, 700-705, 1998 | 35 | 1998 |
| 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 | 34 | 2010 |
| Transfer learning via advice taking L Torrey, J Shavlik, T Walker, R Maclin Advances in Machine Learning I, 147-170, 2010 | 25 | 2010 |
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinGeverifieerd e-mailadres voor cs.wisc.edu
