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## Search the dblp DataBase
Jonathan L. Shapiro:
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## Publications of Author- Jonathan L. Shapiro
**Genetic Algorithms in Machine Learning.**[Citation Graph (0, 0)][DBLP] Machine Learning and Its Applications, 2001, pp:146-168 [Conf] - 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] - 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] - 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] - 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] - Jonathan L. Shapiro
**Scaling of Probability-Based Optimization Algorithms.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:383-390 [Conf] - 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] - 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] - 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] - 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] - Jonathan L. Shapiro
**Diversity Loss in General Estimation of Distribution Algorithms.**[Citation Graph (0, 0)][DBLP] PPSN, 2006, pp:92-101 [Conf] - Hao Wu, Jonathan L. Shapiro
**Choosing Search Algorithms in Bayesian Optimization Algorithm.**[Citation Graph (0, 0)][DBLP] IEC (Prague), 2005, pp:51-55 [Conf] - 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] - 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] - 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] - 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] - 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] - 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] **Modeling Failure Propagation in Large-Scale Engineering Networks.**[Citation Graph (, )][DBLP]
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