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

Publications of Author

  1. J. Michael Fitzpatrick, John J. Grefenstette
    Genetic Algorithms in Noisy Environments. [Citation Graph (2, 0)][DBLP]
    Machine Learning, 1988, v:3, n:, pp:101-120 [Journal]
  2. John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz
    Learning Sequential Decision Rules Using Simulation Models and Competition. [Citation Graph (2, 0)][DBLP]
    Machine Learning, 1990, v:5, n:, pp:355-381 [Journal]
  3. John J. Grefenstette
    Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1988, v:3, n:, pp:225-245 [Journal]
  4. John J. Grefenstette
    Credit Assignment in Genetic Learning Systems. [Citation Graph (0, 0)][DBLP]
    AAAI, 1988, pp:596-600 [Conf]
  5. Brian Yamauchi, Alan C. Schultz, William Adams, Kevin Graves, John J. Grefenstette, Dennis Perzanowski
    ARIEL: Autonomous Robot for Integrated Exploration and Localization. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:804-805 [Conf]
  6. John J. Grefenstette
    Learning Decision Strategies with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    AII, 1992, pp:35-50 [Conf]
  7. Hadon Nash, Douglas Blair, John J. Grefenstette
    Comparing Algorithms for Large-Scale Sequence Analysis. [Citation Graph (0, 0)][DBLP]
    BIBE, 2001, pp:89-96 [Conf]
  8. John J. Grefenstette
    Genetic Algorithms and Machine Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:3-4 [Conf]
  9. John J. Grefenstette
    Conditions for Implicit Parallelism. [Citation Graph (0, 0)][DBLP]
    FOGA, 1990, pp:252-261 [Conf]
  10. John J. Grefenstette
    Deception Considered Harmful. [Citation Graph (0, 0)][DBLP]
    FOGA, 1992, pp:75-91 [Conf]
  11. John J. Grefenstette
    Predictive Models Using Fitness Distributions of Genetic Operators. [Citation Graph (0, 0)][DBLP]
    FOGA, 1994, pp:139-161 [Conf]
  12. Deborah Vakas Duong, John J. Grefenstette
    The emulation of social institutions as a method of coevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:555-556 [Conf]
  13. Helen G. Cobb, John J. Grefenstette
    Genetic Algorithms for Tracking Changing Environments. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:523-530 [Conf]
  14. John J. Grefenstette
    Multilevel Credit Assignment in a Genetic Learning System. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:202-209 [Conf]
  15. John J. Grefenstette
    Lamarckian Learning in Multi-Agent Environments. [Citation Graph (0, 0)][DBLP]
    ICGA, 1991, pp:303-310 [Conf]
  16. John J. Grefenstette, J. Michael Fitzpatrick
    Genetic Search with Approximate Function Evaluation. [Citation Graph (0, 0)][DBLP]
    ICGA, 1985, pp:112-120 [Conf]
  17. John J. Grefenstette, Rajeev Gopal, Brian J. Rosmaita, Dirk Van Gucht
    Genetic Algorithms for the Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP]
    ICGA, 1985, pp:160-168 [Conf]
  18. John J. Grefenstette
    A System for Learning Control Strategies with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:183-190 [Conf]
  19. John J. Grefenstette, James E. Baker
    How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:20-27 [Conf]
  20. Chrisila C. Pettey, Michael R. Leuze, John J. Grefenstette
    A Parallel Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICGA, 1987, pp:155-161 [Conf]
  21. Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette
    A Coevolutionary Approach to Learning Sequential Decision Rules. [Citation Graph (0, 0)][DBLP]
    ICGA, 1995, pp:366-372 [Conf]
  22. Connie Loggia Ramsey, John J. Grefenstette
    Case-Based Initialization of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:84-91 [Conf]
  23. Hayong Harry Zhou, John J. Grefenstette
    Learning by Analogy in Genetic Classifier Systems. [Citation Graph (0, 0)][DBLP]
    ICGA, 1989, pp:291-297 [Conf]
  24. Helen G. Cobb, John J. Grefenstette
    Learning the Persistence of Actions in Reactive Control Rules. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:292-297 [Conf]
  25. Diana F. Gordon, John J. Grefenstette
    Explanations of Empirically Derived Reactive Plans. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:198-203 [Conf]
  26. John J. Grefenstette
    Incremental Learning of Control Strategies with Genetic algorithms. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:340-344 [Conf]
  27. John J. Grefenstette, Connie Loggia Ramsey
    An Approach to Anytime Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:189-195 [Conf]
  28. Connie Loggia Ramsey, John J. Grefenstette, Alan C. Schultz
    Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target Environment. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:211-215 [Conf]
  29. J. David Schaffer, John J. Grefenstette
    Multi-Objective Learning via Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:593-595 [Conf]
  30. John J. Grefenstette
    Genetic Algorithms for Changing Environments. [Citation Graph (0, 0)][DBLP]
    PPSN, 1992, pp:139-146 [Conf]
  31. Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke
    Genome Length as an Evolutionary Self-adaptation. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:345-356 [Conf]
  32. Lakshmi K. Matukumalli, John J. Grefenstette, Tad S. Sonstegard, Curtis P. Van Tassell
    EST-PAGE - managing and analyzing EST data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:2, pp:286-288 [Journal]
  33. Lakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell
    Application of machine learning in SNP discovery. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:4- [Journal]
  34. Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu
    Putting More Genetics into Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1998, v:6, n:4, pp:387-410 [Journal]
  35. John J. Grefenstette
    Guest Editor's Introduction. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1993, v:8, n:5, pp:5-8 [Journal]
  36. Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong
    Test and Evaluation by Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1993, v:8, n:5, pp:9-14 [Journal]
  37. David E. Moriarty, Alan C. Schultz, John J. Grefenstette
    Evolutionary Algorithms for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1999, v:11, n:, pp:241-276 [Journal]
  38. John J. Grefenstette
    Network Structure and the Firing Squad Synchronization Problem. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1983, v:26, n:1, pp:139-152 [Journal]
  39. John J. Grefenstette
    Stability in L Systems. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1983, v:24, n:, pp:53-71 [Journal]
  40. John J. Grefenstette
    Corrigendum: Stability in L Systems. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1984, v:28, n:, pp:347- [Journal]

  41. SNP-PHAGE - High throughput SNP discovery pipeline. [Citation Graph (, )][DBLP]


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