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» A New Migration Model For Distributed Genetic Algorithms
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ICML
2006
IEEE
14 years 8 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
TSP
2011
170views more  TSP 2011»
13 years 2 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
13 years 11 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
ISCI
2008
130views more  ISCI 2008»
13 years 7 months ago
Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
Weishan Dong, Xin Yao
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 8 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli