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Jonathan L. Shapiro :
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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 ] Search in 0.002secs, Finished in 0.002secs