2008 |
25 | EE | Lisa Torrey,
Jude W. Shavlik,
Trevor Walker,
Richard Maclin:
Rule Extraction for Transfer Learning.
Rule Extraction from Support Vector Machines 2008: 67-82 |
2007 |
24 | | 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 |
23 | EE | Lisa Torrey,
Jude W. Shavlik,
Trevor Walker,
Richard Maclin:
Relational Macros for Transfer in Reinforcement Learning.
ILP 2007: 254-268 |
22 | EE | Trevor Walker,
Lisa Torrey,
Jude W. Shavlik,
Richard Maclin:
Building Relational World Models for Reinforcement Learning.
ILP 2007: 280-291 |
2006 |
21 | | Richard Maclin,
Jude W. Shavlik,
Trevor Walker,
Lisa Torrey:
A Simple and Effective Method for Incorporating Advice into Kernel Methods.
AAAI 2006 |
20 | | 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 |
19 | | Mahesh Joshi,
Ted Pedersen,
Richard Maclin,
Serguei V. S. Pakhomov:
Kernel Methods for Word Sense Disambiguation and Acronym Expansion.
AAAI 2006 |
18 | EE | Lisa Torrey,
Jude W. Shavlik,
Trevor Walker,
Richard Maclin:
Skill Acquisition Via Transfer Learning and Advice Taking.
ECML 2006: 425-436 |
2005 |
17 | | 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 |
16 | EE | 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 |
15 | | 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 |
14 | EE | Lisa Torrey,
Trevor Walker,
Jude W. Shavlik,
Richard Maclin:
Knowledge transfer via advice taking.
K-CAP 2005: 217-218 |
2002 |
13 | EE | Kristin P. Bennett,
Ayhan Demiriz,
Richard Maclin:
Exploiting unlabeled data in ensemble methods.
KDD 2002: 289-296 |
1999 |
12 | EE | David W. Opitz,
Richard Maclin:
Popular Ensemble Methods: An Empirical Study.
J. Artif. Intell. Res. (JAIR) 11: 169-198 (1999) |
1998 |
11 | | Richard Maclin:
Boosting Classifiers Regionally.
AAAI/IAAI 1998: 700-705 |
1997 |
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 |
1996 |
7 | | Richard Maclin,
Jude W. Shavlik:
Creating Advice-Taking Reinforcement Learners.
Machine Learning 22(1-3): 251-281 (1996) |
1995 |
6 | | Richard Maclin,
Jude W. Shavlik:
Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks.
IJCAI 1995: 524-531 |
1994 |
5 | | Richard Maclin,
Jude W. Shavlik:
Incorporating Advice into Agents that Learn from Reinforcements.
AAAI 1994: 694-699 |
1993 |
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) |
1992 |
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 |
1991 |
2 | | Richard Maclin,
Jude W. Shavlik:
Refining Domain Theories Expressed as Finite-State Automata.
ML 1991: 524-528 |
1989 |
1 | | Richard Maclin,
Jude W. Shavlik:
Enriching Vocabularies by Generalizing Explanation Structures.
ML 1989: 444-446 |