Richard Maclin

Publication Activity (10 Years)

Years Active: 1989-2017
Publications (10 Years): 1

Top Topics

Directed Acyclic Graph

Top Venues

Publications

Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. KDD (2017)
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik
Advice Refinement in Knowledge-Based SVMs. NIPS (2011)
Richard Maclin, David W. Opitz
Popular Ensemble Methods: An Empirical Study CoRR (2011)
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik
Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) (2010)
Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik
Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge. ILP (2010)
Lisa Torrey, Trevor Walker, Richard Maclin, Jude W. Shavlik
Advice Taking and Transfer Learning: Naturally Inspired Extensions to Reinforcement Learning. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence (2008)
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. AAAI (2007)
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
Relational Macros for Transfer in Reinforcement Learning. ILP (2007)
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richard Maclin
Building Relational World Models for Reinforcement Learning. ILP (2007)
Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute
An End-to-End Supervised Target-Word Sense Disambiguation System. AAAI (2006)
Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey
A Simple and Effective Method for Incorporating Advice into Kernel Methods. AAAI (2006)
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
Skill Acquisition Via Transfer Learning and Advice Taking. ECML (2006)
Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov
Kernel Methods for Word Sense Disambiguation and Acronym Expansion. AAAI (2006)
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
Knowledge transfer via advice taking. K-CAP (2005)
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. IICAI (2005)
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. ECML (2005)
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. AAAI (2005)
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
Exploiting unlabeled data in ensemble methods. KDD (2002)
David W. Opitz, Richard Maclin
Popular Ensemble Methods: An Empirical Study. J. Artif. Intell. Res. 11 (1999)
Richard Maclin
Boosting Classifiers Regionally. AAAI/IAAI (1998)
David W. Opitz, Richard Maclin
An empirical evaluation of bagging and boosting for artificial neural networks. ICNN (1997)
Lars Asker, Richard Maclin
Ensembles as a Sequence of Classifiers. IJCAI (2) (1997)
Richard Maclin, David W. Opitz
An Empirical Evaluation of Bagging and Boosting. AAAI/IAAI (1997)
Lars Asker, Richard Maclin
Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. ICML (1997)
Richard Maclin, Jude W. Shavlik
Creating Advice-Taking Reinforcement Learners. Mach. Learn. 22 (1-3) (1996)
Richard Maclin, Jude W. Shavlik
Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks. IJCAI (1995)
Richard Maclin, Jude W. Shavlik
Incorporating Advice into Agents that Learn from Reinforcements. AAAI (1994)
Richard Maclin, Jude W. Shavlik
Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. Mach. Learn. 11 (1993)
Richard Maclin, Jude W. Shavlik
Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. AAAI (1992)
Richard Maclin, Jude W. Shavlik
Refining Domain Theories Expressed as Finite-State Automata. ML (1991)
Richard Maclin, Jude W. Shavlik
Enriching Vocabularies by Generalizing Explanation Structures. ML (1989)