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Tim Kovacs: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James A. R. Marshall, Tim Kovacs, Anna R. Dornhaus, Nigel R. Franks
    Simulating the Evolution of Ant Behaviour in Evaluating Nest Sites. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:643-650 [Conf]
  2. Tim Kovacs, Manfred Kerber
    High Classification Accuracy Does Not Imply Effective Genetic Search. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:785-796 [Conf]
  3. James A. R. Marshall, Tim Kovacs
    A representational ecology for learning classifier systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1529-1536 [Conf]
  4. Peter Spellward, Tim Kovacs
    On the contribution of gene libraries to artificial immune systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:313-319 [Conf]
  5. Steve Cayzer, Jim Smith, James A. R. Marshall, Tim Kovacs
    What Have Gene Libraries Done for AIS? [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:86-99 [Conf]
  6. Tim Kovacs
    Strength or Accuracy? Fitness Calculation in Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:143-160 [Conf]
  7. Tim Kovacs, Pier Luca Lanzi
    A Learning Classifier Systems Bibliography. [Citation Graph (0, 0)][DBLP]
    Learning Classifier Systems, 1999, pp:321-348 [Conf]
  8. Tim Kovacs
    Two Views of Classifier Systems. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2001, pp:74-87 [Conf]
  9. Tim Kovacs
    XCS's Strength-Based Twin: Part I. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:61-80 [Conf]
  10. Tim Kovacs
    XCS's Strength-Based Twin: Part II. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:81-98 [Conf]
  11. Tim Kovacs
    The 2003 Learning Classifier Systems Bibliography. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:187-230 [Conf]
  12. Tim Kovacs, Manfred Kerber
    What Makes a Problem Hard for XCS? [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:80-102 [Conf]
  13. Tim Kovacs, Pier Luca Lanzi
    A Bigger Learning Classifier Systems Bibliography. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2000, pp:213-252 [Conf]
  14. Tim Kovacs
    Rule Fitness and Pathology in Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2004, v:12, n:1, pp:99-135 [Journal]
  15. Tim Kovacs, Manfred Kerber
    A Study of Structural and Parametric Learning in XCS. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2006, v:14, n:1, pp:1-19 [Journal]
  16. Tim Kovacs
    What should a classifier system learn and how should we measure it? [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:171-182 [Journal]
  17. Tim Kovacs
    Learning classifier systems resources. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:240-243 [Journal]
  18. Martin V. Butz, Tim Kovacs, Pier Luca Lanzi, Stewart W. Wilson
    Toward a theory of generalization and learning in XCS. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:1, pp:28-46 [Journal]
  19. Gavin Brown, Tim Kovacs, James A. R. Marshall
    UCSpv: principled voting in UCS rule populations. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1774-1781 [Conf]
  20. Tim Kovacs, Larry Bull
    Toward a better understanding of rule initialisation and deletion. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2777-2780 [Conf]
  21. James A. R. Marshall, Gavin Brown, Tim Kovacs
    Bayesian estimation of rule accuracy in UCS. [Citation Graph (0, 0)][DBLP]
    GECCO (Companion), 2007, pp:2831-2834 [Conf]

  22. Modeling UCS as a mixture of experts. [Citation Graph (, )][DBLP]


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