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Richard Maclin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov
    Kernel Methods for Word Sense Disambiguation and Acronym Expansion. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute
    An End-to-End Supervised Target-Word Sense Disambiguation System. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Richard Maclin
    Boosting Classifiers Regionally. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:700-705 [Conf]
  4. Richard Maclin, David W. Opitz
    An Empirical Evaluation of Bagging and Boosting. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:546-551 [Conf]
  5. Richard Maclin, Jude W. Shavlik
    Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:165-170 [Conf]
  6. Richard Maclin, Jude W. Shavlik
    Incorporating Advice into Agents that Learn from Reinforcements. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:694-699 [Conf]
  7. 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. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:819-824 [Conf]
  8. Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey
    A Simple and Effective Method for Incorporating Advice into Kernel Methods. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  9. Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin
    Skill Acquisition Via Transfer Learning and Advice Taking. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:425-436 [Conf]
  10. Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
    Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:412-424 [Conf]
  11. Lars Asker, Richard Maclin
    Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:3-11 [Conf]
  12. Richard Maclin, Jude W. Shavlik
    Enriching Vocabularies by Generalizing Explanation Structures. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:444-446 [Conf]
  13. Richard Maclin, Jude W. Shavlik
    Refining Domain Theories Expressed as Finite-State Automata. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:524-528 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    IICAI, 2005, pp:3449-3468 [Conf]
  15. Lars Asker, Richard Maclin
    Ensembles as a Sequence of Classifiers. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:860-865 [Conf]
  16. Richard Maclin, Jude W. Shavlik
    Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:524-531 [Conf]
  17. Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin
    Knowledge transfer via advice taking. [Citation Graph (0, 0)][DBLP]
    K-CAP, 2005, pp:217-218 [Conf]
  18. Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
    Exploiting unlabeled data in ensemble methods. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:289-296 [Conf]
  19. David W. Opitz, Richard Maclin
    Popular Ensemble Methods: An Empirical Study. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1999, v:11, n:, pp:169-198 [Journal]
  20. Richard Maclin, Jude W. Shavlik
    Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:11, n:, pp:195-215 [Journal]
  21. Richard Maclin, Jude W. Shavlik
    Creating Advice-Taking Reinforcement Learners. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:22, n:1-3, pp:251-281 [Journal]
  22. 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. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:584-589 [Conf]

  23. Relational Macros for Transfer in Reinforcement Learning. [Citation Graph (, )][DBLP]


  24. Building Relational World Models for Reinforcement Learning. [Citation Graph (, )][DBLP]


  25. Online Knowledge-Based Support Vector Machines. [Citation Graph (, )][DBLP]


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