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Richard Maclin :
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Mahesh Joshi , Ted Pedersen , Richard Maclin , Serguei V. S. Pakhomov Kernel Methods for Word Sense Disambiguation and Acronym Expansion. [Citation Graph (0, 0)][DBLP ] AAAI, 2006, pp:- [Conf ] Mahesh Joshi , Serguei V. S. Pakhomov , Ted Pedersen , Richard Maclin , Christopher G. Chute An End-to-End Supervised Target-Word Sense Disambiguation System. [Citation Graph (0, 0)][DBLP ] AAAI, 2006, pp:- [Conf ] Richard Maclin Boosting Classifiers Regionally. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1998, pp:700-705 [Conf ] Richard Maclin , David W. Opitz An Empirical Evaluation of Bagging and Boosting. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1997, pp:546-551 [Conf ] Richard Maclin , Jude W. Shavlik Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. [Citation Graph (0, 0)][DBLP ] AAAI, 1992, pp:165-170 [Conf ] Richard Maclin , Jude W. Shavlik Incorporating Advice into Agents that Learn from Reinforcements. [Citation Graph (0, 0)][DBLP ] AAAI, 1994, pp:694-699 [Conf ] Richard Maclin , Jude W. Shavlik , Lisa Torrey , Trevor Walker , Edward W. Wild Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression. [Citation Graph (0, 0)][DBLP ] AAAI, 2005, pp:819-824 [Conf ] Richard Maclin , Jude W. Shavlik , Trevor Walker , Lisa Torrey A Simple and Effective Method for Incorporating Advice into Kernel Methods. [Citation Graph (0, 0)][DBLP ] AAAI, 2006, pp:- [Conf ] Lisa Torrey , Jude W. Shavlik , Trevor Walker , Richard Maclin Skill Acquisition Via Transfer Learning and Advice Taking. [Citation Graph (0, 0)][DBLP ] ECML, 2006, pp:425-436 [Conf ] Lisa Torrey , Trevor Walker , Jude W. Shavlik , Richard Maclin Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. [Citation Graph (0, 0)][DBLP ] ECML, 2005, pp:412-424 [Conf ] Lars Asker , Richard Maclin Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. [Citation Graph (0, 0)][DBLP ] ICML, 1997, pp:3-11 [Conf ] Richard Maclin , Jude W. Shavlik Enriching Vocabularies by Generalizing Explanation Structures. [Citation Graph (0, 0)][DBLP ] ML, 1989, pp:444-446 [Conf ] Richard Maclin , Jude W. Shavlik Refining Domain Theories Expressed as Finite-State Automata. [Citation Graph (0, 0)][DBLP ] ML, 1991, pp:524-528 [Conf ] Mahesh Joshi , Ted Pedersen , Richard Maclin A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain. [Citation Graph (0, 0)][DBLP ] IICAI, 2005, pp:3449-3468 [Conf ] Lars Asker , Richard Maclin Ensembles as a Sequence of Classifiers. [Citation Graph (0, 0)][DBLP ] IJCAI (2), 1997, pp:860-865 [Conf ] Richard Maclin , Jude W. Shavlik Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks. [Citation Graph (0, 0)][DBLP ] IJCAI, 1995, pp:524-531 [Conf ] Lisa Torrey , Trevor Walker , Jude W. Shavlik , Richard Maclin Knowledge transfer via advice taking. [Citation Graph (0, 0)][DBLP ] K-CAP, 2005, pp:217-218 [Conf ] Kristin P. Bennett , Ayhan Demiriz , Richard Maclin Exploiting unlabeled data in ensemble methods. [Citation Graph (0, 0)][DBLP ] KDD, 2002, pp:289-296 [Conf ] David W. Opitz , Richard Maclin Popular Ensemble Methods: An Empirical Study. [Citation Graph (0, 0)][DBLP ] J. Artif. Intell. Res. (JAIR), 1999, v:11, n:, pp:169-198 [Journal ] Richard Maclin , Jude W. Shavlik Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1993, v:11, n:, pp:195-215 [Journal ] Richard Maclin , Jude W. Shavlik Creating Advice-Taking Reinforcement Learners. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1996, v:22, n:1-3, pp:251-281 [Journal ] Richard Maclin , Edward W. Wild , Jude W. Shavlik , Lisa Torrey , Trevor Walker Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming. [Citation Graph (0, 0)][DBLP ] AAAI, 2007, pp:584-589 [Conf ] Relational Macros for Transfer in Reinforcement Learning. [Citation Graph (, )][DBLP ] Building Relational World Models for Reinforcement Learning. [Citation Graph (, )][DBLP ] Online Knowledge-Based Support Vector Machines. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.301secs