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Note: Links lead to the DBLP on the Web. Richard Maclin 13 Kristin P. Bennett , Ayhan Demiriz , Richard Maclin: Exploiting unlabeled data in ensemble methods. KDD 2002 : 289-296 12 David W. Opitz , Richard Maclin: Popular Ensemble Methods: An Empirical Study. JAIR 11 : 169-198 (1999) 11 Richard Maclin: Boosting Classifiers Regionally. AAAI/IAAI 1998 : 700-705 10 Richard Maclin, David W. Opitz : An Empirical Evaluation of Bagging and Boosting. AAAI/IAAI 1997 : 546-551 9 Lars Asker , Richard Maclin: Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. ICML 1997 : 3-11 8 Lars Asker , Richard Maclin: Ensembles as a Sequence of Classifiers. IJCAI (2) 1997 : 860-865 7 Richard Maclin, Jude W. Shavlik : Creating Advice-Taking Reinforcement Learners. Machine Learning 22 (1-3): 251-281 (1996) 6 Richard Maclin, Jude W. Shavlik : Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks. IJCAI 1995 : 524-531 5 Richard Maclin, Jude W. Shavlik : Incorporating Advice into Agents that Learn from Reinforcements. AAAI 1994 : 694-699 4 Richard Maclin, Jude W. Shavlik : Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. Machine Learning 11 : 195-215 (1993) 3 Richard Maclin, Jude W. Shavlik : Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. AAAI 1992 : 165-170 2 Richard Maclin, Jude W. Shavlik : Refining Domain Theories Expressed as Finite-State Automata. ML 1991 : 524-528 1 Richard Maclin, Jude W. Shavlik : Enriching Vocabularies by Generalizing Explanation Structures. ML 1989 : 444-446  DiSC'03 © 2003 Association for Computing Machinery |
