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Richard Maclin
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2010 – 2019
- 2017
- [c27]Zhaobin Kuang, Peggy L. Peissig, Vítor Santos Costa
, Richard Maclin, David Page:
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data. KDD 2017: 1537-1546 - 2011
- [c26]Gautam Kunapuli, Richard Maclin, Jude W. Shavlik:
Advice Refinement in Knowledge-Based SVMs. NIPS 2011: 1728-1736 - [i1]Richard Maclin, David W. Opitz:
Popular Ensemble Methods: An Empirical Study. CoRR abs/1106.0257 (2011) - 2010
- [c25]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: 253-268 - [c24]Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik:
Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) 2010: 145-161 - [p3]Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Transfer Learning via Advice Taking. Advances in Machine Learning I 2010: 147-170
2000 – 2009
- 2008
- [c23]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: 103-110 - [p2]Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Rule Extraction for Transfer Learning. Rule Extraction from Support Vector Machines 2008: 67-82 - 2007
- [c22]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: 584-589 - [c21]Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Relational Macros for Transfer in Reinforcement Learning. ILP 2007: 254-268 - [c20]Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richard Maclin:
Building Relational World Models for Reinforcement Learning. ILP 2007: 280-291 - 2006
- [c19]Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey:
A Simple and Effective Method for Incorporating Advice into Kernel Methods. AAAI 2006: 427-432 - [c18]Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov:
Kernel Methods for Word Sense Disambiguation and Acronym Expansion. AAAI 2006: 1879-1880 - [c17]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: 1941-1942 - [c16]Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Skill Acquisition Via Transfer Learning and Advice Taking. ECML 2006: 425-436 - 2005
- [c15]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: 819-824 - [c14]Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin:
Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. ECML 2005: 412-424 - [c13]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: 3449-3468 - [c12]Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin:
Knowledge transfer via advice taking. K-CAP 2005: 217-218 - 2002
- [c11]Kristin P. Bennett, Ayhan Demiriz, Richard Maclin:
Exploiting unlabeled data in ensemble methods. KDD 2002: 289-296
1990 – 1999
- 1999
- [j3]David W. Opitz, Richard Maclin:
Popular Ensemble Methods: An Empirical Study. J. Artif. Intell. Res. 11: 169-198 (1999) - 1998
- [c10]Richard Maclin:
Boosting Classifiers Regionally. AAAI/IAAI 1998: 700-705 - [p1]Richard Maclin, Jude W. Shavlik:
Creating Advice-Taking Reinforcement Learners. Learning to Learn 1998: 311-347 - 1997
- [c9]Richard Maclin, David W. Opitz:
An Empirical Evaluation of Bagging and Boosting. AAAI/IAAI 1997: 546-551 - [c8]Lars Asker, Richard Maclin:
Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. ICML 1997: 3-11 - [c7]David W. Opitz, Richard Maclin:
An empirical evaluation of bagging and boosting for artificial neural networks. ICNN 1997: 1401-1405 - [c6]Lars Asker, Richard Maclin:
Ensembles as a Sequence of Classifiers. IJCAI (2) 1997: 860-865 - 1996
- [j2]Richard Maclin, Jude W. Shavlik:
Creating Advice-Taking Reinforcement Learners. Mach. Learn. 22(1-3): 251-281 (1996) - 1995
- [c5]Richard Maclin, Jude W. Shavlik:
Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks. IJCAI 1995: 524-531 - 1994
- [c4]Richard Maclin, Jude W. Shavlik:
Incorporating Advice into Agents that Learn from Reinforcements. AAAI 1994: 694-699 - 1993
- [j1]Richard Maclin, Jude W. Shavlik:
Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. Mach. Learn. 11: 195-215 (1993) - 1992
- [c3]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 - 1991
- [c2]Richard Maclin, Jude W. Shavlik:
Refining Domain Theories Expressed as Finite-State Automata. ML 1991: 524-528
1980 – 1989
- 1989
- [c1]Richard Maclin, Jude W. Shavlik:
Enriching Vocabularies by Generalizing Explanation Structures. ML 1989: 444-446
Coauthor Index
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