Richard Maclin

According to our database, Richard Maclin authored at least 32 papers between 1989 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data.

Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa, Richard Maclin, David Page

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2011

Advice Refinement in Knowledge-Based SVMs.

Gautam Kunapuli, Richard Maclin, Jude W. Shavlik

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Transfer Learning via Advice Taking.

Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Online Knowledge-Based Support Vector Machines.

Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge.

Trevor Walker, Ciaran O'Reilly, Gautam Kunapuli, Sriraam Natarajan, Richard Maclin, David Page, Jude W. Shavlik

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

2008

Rule Extraction for Transfer Learning.

Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin

Proceedings of the Rule Extraction from Support Vector Machines, 2008

Advice Taking and Transfer Learning: Naturally Inspired Extensions to Reinforcement Learning.

Lisa Torrey, Trevor Walker, Richard Maclin, Jude W. Shavlik

Proceedings of the Naturally-Inspired Artificial Intelligence, 2008

2007

Building Relational World Models for Reinforcement Learning.

Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richard Maclin

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Relational Macros for Transfer in Reinforcement Learning.

Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming.

Richard Maclin, Edward W. Wild, Jude W. Shavlik, Lisa Torrey, Trevor Walker

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Skill Acquisition Via Transfer Learning and Advice Taking.

Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin

Proceedings of the Machine Learning: ECML 2006, 2006

A Simple and Effective Method for Incorporating Advice into Kernel Methods.

Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey

Proceedings of the Proceedings, 2006

An End-to-End Supervised Target-Word Sense Disambiguation System.

Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute

Proceedings of the Proceedings, 2006

Kernel Methods for Word Sense Disambiguation and Acronym Expansion.

Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov

Proceedings of the Proceedings, 2006

2005

Knowledge transfer via advice taking.

Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin

Proceedings of the 3rd International Conference on Knowledge Capture (K-CAP 2005), 2005

A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain.

Mahesh Joshi, Ted Pedersen, Richard Maclin

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another.

Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin

Proceedings of the Machine Learning: ECML 2005, 2005

Giving Advice about Preferred Actions to Reinforcement Learners Via Knowledge-Based Kernel Regression.

Richard Maclin, Jude W. Shavlik, Lisa Torrey, Trevor Walker, Edward W. Wild

Proceedings of the Proceedings, 2005

2002

Exploiting unlabeled data in ensemble methods.

Kristin P. Bennett, Ayhan Demiriz, Richard Maclin

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

1999

Popular Ensemble Methods: An Empirical Study.

David W. Opitz, Richard Maclin

J. Artif. Intell. Res., 1999

1998

Boosting Classifiers Regionally.

Richard Maclin

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Creating Advice-Taking Reinforcement Learners.

Richard Maclin, Jude W. Shavlik

Proceedings of the Learning to Learn., 1998

1997

Ensembles as a Sequence of Classifiers.

Lars Asker, Richard Maclin

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

An empirical evaluation of bagging and boosting for artificial neural networks.

David W. Opitz, Richard Maclin

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection.

Lars Asker, Richard Maclin

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

An Empirical Evaluation of Bagging and Boosting.

Richard Maclin, David W. Opitz

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Creating Advice-Taking Reinforcement Learners.

Richard Maclin, Jude W. Shavlik

Mach. Learn., 1996

1995

Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks.

Richard Maclin, Jude W. Shavlik

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

Incorporating Advice into Agents that Learn from Reinforcements.

Richard Maclin, Jude W. Shavlik

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding.

Richard Maclin, Jude W. Shavlik

Mach. Learn., 1993

1991

Refining Domain Theories Expressed as Finite-State Automata.

Richard Maclin, Jude W. Shavlik

Proceedings of the Eighth International Workshop (ML91), 1991

1989

Enriching Vocabularies by Generalizing Explanation Structures.

Richard Maclin, Jude W. Shavlik

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989