Richard Maclin

34 papers A* 11B 4Journal 4Unranked 12

Year	Rank	Type	Title / Venue / Authors
2017	A*	`conf`	Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. KDD Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page
2011	—	`conf`	Advice Refinement in Knowledge-Based SVMs. NIPS Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
2011	J	`jnl`	Popular Ensemble Methods: An Empirical Study CoRR Richard Maclin, David W. Opitz
2010	B	`conf`	Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik
2010	—	`conf`	Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik
2010	—	`ch.`	Transfer Learning via Advice Taking. Advances in Machine Learning I Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2008	—	`conf`	Advice Taking and Transfer Learning: Naturally Inspired Extensions to Reinforcement Learning. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence Lisa Torrey, Trevor Walker, Richard Maclin, Jude W. Shavlik
2008	—	`ch.`	Rule Extraction for Transfer Learning. Rule Extraction from Support Vector Machines Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2007	B	`conf`	Building Relational World Models for Reinforcement Learning. ILP Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richard Maclin
2007	A*	`conf`	Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming. AAAI Richard Maclin, Edward W. Wild, Jude W. Shavlik, Lisa Torrey, Trevor Walker
2007	B	`conf`	Relational Macros for Transfer in Reinforcement Learning. ILP Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2006	A*	`conf`	A Simple and Effective Method for Incorporating Advice into Kernel Methods. AAAI Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey
2006	A*	`conf`	An End-to-End Supervised Target-Word Sense Disambiguation System. AAAI Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute
2006	A*	`conf`	Kernel Methods for Word Sense Disambiguation and Acronym Expansion. AAAI Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov
2006	—	`conf`	Skill Acquisition Via Transfer Learning and Advice Taking. ECML Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
2005	—	`conf`	A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain. IICAI Mahesh Joshi, Ted Pedersen, Richard Maclin
2005	A*	`conf`	Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression. AAAI Richard Maclin, Jude W. Shavlik, Lisa Torrey, Trevor Walker, Edward W. Wild
2005	B	`conf`	Knowledge transfer via advice taking. K-CAP Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
2005	—	`conf`	Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. ECML Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
2002	A*	`conf`	Exploiting unlabeled data in ensemble methods. KDD Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
1999	J	`jnl`	Popular Ensemble Methods: An Empirical Study. J. Artif. Intell. Res. David W. Opitz, Richard Maclin
1998	—	`conf`	Boosting Classifiers Regionally. AAAI/IAAI Richard Maclin
1998	—	`ch.`	Creating Advice-Taking Reinforcement Learners. Learning to Learn Richard Maclin, Jude W. Shavlik
1997	—	`conf`	An Empirical Evaluation of Bagging and Boosting. AAAI/IAAI Richard Maclin, David W. Opitz
1997	—	`conf`	An empirical evaluation of bagging and boosting for artificial neural networks. ICNN David W. Opitz, Richard Maclin
1997	—	`conf`	Ensembles as a Sequence of Classifiers. IJCAI (2) Lars Asker, Richard Maclin
1997	A*	`conf`	Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. ICML Lars Asker, Richard Maclin
1996	J	`jnl`	Creating Advice-Taking Reinforcement Learners. Mach. Learn. Richard Maclin, Jude W. Shavlik
1995	A*	`conf`	Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks. IJCAI Richard Maclin, Jude W. Shavlik
1994	A*	`conf`	Incorporating Advice into Agents that Learn from Reinforcements. AAAI Richard Maclin, Jude W. Shavlik
1993	J	`jnl`	Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. Mach. Learn. Richard Maclin, Jude W. Shavlik
1992	A*	`conf`	Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. AAAI Richard Maclin, Jude W. Shavlik
1991	—	`conf`	Refining Domain Theories Expressed as Finite-State Automata. ML Richard Maclin, Jude W. Shavlik
1989	—	`conf`	Enriching Vocabularies by Generalizing Explanation Structures. ML Richard Maclin, Jude W. Shavlik