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Jonathan L. Shapiro: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jonathan L. Shapiro
    Genetic Algorithms in Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:146-168 [Conf]
  2. Andrew Johnson, Jonathan L. Shapiro
    The Importance of Selection Mechanisms in Distribution Estimation Algorithms. [Citation Graph (0, 0)][DBLP]
    Artificial Evolution, 2001, pp:91-103 [Conf]
  3. Jonathan L. Shapiro, Adam Prügel-Bennett
    Maximum Entropy Analysis of Genetic Algorithm Operators. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1995, pp:14-24 [Conf]
  4. Hao Wu, Jonathan L. Shapiro
    Does overfitting affect performance in estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:433-434 [Conf]
  5. Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
    A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:115-120 [Conf]
  6. Jonathan L. Shapiro
    Scaling of Probability-Based Optimization Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:383-390 [Conf]
  7. Jonathan L. Shapiro, Adam Prügel-Bennett
    Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:407-414 [Conf]
  8. Jonathan L. Shapiro, J. Wearden
    Reinforcement Learning and Time Perception -- a Model of Animal Experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:115-122 [Conf]
  9. Elon S. Correa, Jonathan L. Shapiro
    Model Complexity vs. Performance in the Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:998-1007 [Conf]
  10. Jonathan L. Shapiro
    Does Data-Model Co-evolution Improve Generalization Performance of Evolving Learners? [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:540-549 [Conf]
  11. Jonathan L. Shapiro
    Diversity Loss in General Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:92-101 [Conf]
  12. Hao Wu, Jonathan L. Shapiro
    Choosing Search Algorithms in Bayesian Optimization Algorithm. [Citation Graph (0, 0)][DBLP]
    IEC (Prague), 2005, pp:51-55 [Conf]
  13. Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
    A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    WIRN/NAIS, 2005, pp:44-48 [Conf]
  14. Jonathan L. Shapiro
    Drift and Scaling in Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:1, pp:99-123 [Journal]
  15. Sybil Hirsch, Jonathan L. Shapiro, Peter I. Frank
    Use of an Artificial Neural Network in Estimating Prevalence and Assessing Underdiagnisis of Asthma. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1997, v:5, n:2, pp:124-128 [Journal]
  16. Jürgen Branke, Clemens Lode, Jonathan L. Shapiro
    Addressing sampling errors and diversity loss in UMDA. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:508-515 [Conf]
  17. Hao Wu, Jonathan L. Shapiro
    Parameter cross-validation and early-stopping in univariate marginal distribution algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:632-633 [Conf]
  18. Joy Bose, Stephen B. Furber, Jonathan L. Shapiro
    An associative memory for the on-line recognition and prediction of temporal sequences [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  19. Modeling Failure Propagation in Large-Scale Engineering Networks. [Citation Graph (, )][DBLP]


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