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J. David Schaffer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Srinivas Gutta, Kaushal Kurapati, K. P. Lee, Jacquelyn Martino, John Milanski, J. David Schaffer, John Zimmerman
    TV Content Recommender System. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1121-1122 [Conf]
  2. Lalitha Agnihotri, Nevenka Dimitrova, Thomas McGee, Sylvie Jeannin, J. David Schaffer, Jan Nesvadba
    Envolvable Visual Commercial Detector. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2003, pp:79-84 [Conf]
  3. J. David Schaffer, Murali Mani, Larry J. Eshelman, Keith E. Mathias
    The Effect of Incest Prevention on Genetic Drift. [Citation Graph (0, 0)][DBLP]
    FOGA, 1998, pp:235-244 [Conf]
  4. Larry J. Eshelman, Keith E. Mathias, J. David Schaffer
    Convergence Controlled Variation. [Citation Graph (0, 0)][DBLP]
    FOGA, 1996, pp:203-224 [Conf]
  5. Larry J. Eshelman, J. David Schaffer
    Real-Coded Genetic Algorithms and Interval-Schemata. [Citation Graph (0, 0)][DBLP]
    FOGA, 1992, pp:187-202 [Conf]
  6. Larry J. Eshelman, J. David Schaffer
    Productive Recombination and Propagating and Preserving Schemata. [Citation Graph (0, 0)][DBLP]
    FOGA, 1994, pp:299-313 [Conf]
  7. J. David Schaffer, Larry J. Eshelman, Daniel Offutt
    Spurious Correlations and Premature Convergence in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    FOGA, 1990, pp:102-112 [Conf]
  8. Keith E. Mathias, Larry J. Eshelman, J. David Schaffer, Lex Augusteijn, Paul F. Hoogendijk, Rik van de Wiel
    Code Compaction Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:710-717 [Conf]
  9. J. David Schaffer, Lalitha Agnihotri, Nevenka Dimitrova, Thomas McGee, Sylvie Jeannin
    Improving Digital Video Commercial Detectors With Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:1212-1218 [Conf]
  10. Larry J. Eshelman, Rich Caruana, J. David Schaffer
    Biases in the Crossover Landscape. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:10-19 [Conf]
  11. Larry J. Eshelman, Keith E. Mathias, J. David Schaffer
    Crossover Operator Biases: Exploiting the Population Distribution. [Citation Graph (0, 0)][DBLP]
    ICGA, 1997, pp:354-361 [Conf]
  12. Larry J. Eshelman, J. David Schaffer
    Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:115-122 [Conf]
  13. Larry J. Eshelman, J. David Schaffer
    Crossover's Niche. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:9-14 [Conf]
  14. J. David Schaffer
    Learning Multiclass Pattern Discrimination. [Citation Graph (0, 0)][DBLP]
    ICGA, 1985, pp:74-79 [Conf]
  15. J. David Schaffer
    Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1985, pp:93-100 [Conf]
  16. J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das
    A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:51-60 [Conf]
  17. J. David Schaffer, Larry J. Eshelman
    On Crossover as an Evolutionarily Viable Strategy. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:61-68 [Conf]
  18. J. David Schaffer, Larry J. Eshelman
    Designing Multiplierless Digital Filters Using Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:439-444 [Conf]
  19. J. David Schaffer, Amy Morishima
    An Adaptive Crossover Distribution Mechanism for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:36-40 [Conf]
  20. Rich Caruana, J. David Schaffer
    Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ML, 1988, pp:153-161 [Conf]
  21. Rich Caruana, J. David Schaffer, Larry J. Eshelman
    Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:375-378 [Conf]
  22. Rich Caruana, Larry J. Eshelman, J. David Schaffer
    Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:750-755 [Conf]
  23. J. David Schaffer, John J. Grefenstette
    Multi-Objective Learning via Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:593-595 [Conf]
  24. Keith E. Mathias, J. David Schaffer, Larry J. Eshelman, Murali Mani
    The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:398-407 [Conf]

  25. SSNNS -: a suite of tools to explore spiking neural networks. [Citation Graph (, )][DBLP]


  26. A series of failed and partially successful fitness functions for evolving spiking neural networks. [Citation Graph (, )][DBLP]


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