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Nicholas S. Flann: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nicholas S. Flann, Thomas G. Dietterich
    A Study of Explanation-Based Methods for Inductive Learning. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:187-226 [Journal]
  2. Nicholas S. Flann, Thomas G. Dietterich
    Selecting Appropriate Representations for Learning from Examples. [Citation Graph (0, 0)][DBLP]
    AAAI, 1986, pp:460-466 [Conf]
  3. Nicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon
    Forward Chaining Logic Programming with the ATMS. [Citation Graph (0, 0)][DBLP]
    AAAI, 1987, pp:24-29 [Conf]
  4. Caroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich
    An Efficient ATMS for Equivalence Relations. [Citation Graph (0, 0)][DBLP]
    AAAI, 1988, pp:182-187 [Conf]
  5. Nicholas Flann, Jing Hu, Mayank Bansal, Vinay Patel, Greg Podgorski
    Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:57-66 [Conf]
  6. Thomas G. Dietterich, Nicholas S. Flann
    Explanation-Based Learning and Reinforcement Learning: A Unified View. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:176-184 [Conf]
  7. Nicholas S. Flann
    Learning Appropriate Abstractions for Planning in Formation Problems. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:235-239 [Conf]
  8. Nicholas S. Flann
    Applying Abstraction and Simplification to Learn in Intractable Domains. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:277-285 [Conf]
  9. Ranjit A. Henry, Nicholas S. Flann, Daniel W. Watson
    A Massively Parallel SIMD Algorithm for Combinatorial Optimization. [Citation Graph (0, 0)][DBLP]
    ICPP, Vol. 2, 1996, pp:46-49 [Conf]
  10. Nicholas S. Flann
    Recognition-Based Segmentation of On-Line Cursive Handwriting. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:777-784 [Conf]
  11. Hao Chen, Nicholas S. Flann
    Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:428-438 [Conf]
  12. Thomas G. Dietterich, Nicholas S. Flann
    Explanation-Based Learning and Reinforcement Learning: A Unified View. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:28, n:2-3, pp:169-210 [Journal]
  13. Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins
    News and Notes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1986, v:1, n:2, pp:227-242 [Journal]
  14. Hao Chen, Nicholas S. Flann, Daniel W. Watson
    Parallel Genetic Simulated Annealing: A Massively Parallel SIMD Algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1998, v:9, n:2, pp:126-136 [Journal]

  15. Discovering novel cancer therapies: A computational modeling and search approach. [Citation Graph (, )][DBLP]


  16. Coordination of multiple vehicles for area coverage tasks. [Citation Graph (, )][DBLP]


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