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» Using Gaussian Processes to Optimize Expensive Functions
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GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 5 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
ATMN
1996
15 years 2 months ago
Dynamic time sharing: a new approach for congestion management
A new approach for bandwidth allocation and congestion control is reported in this paper, which is of the Rate Controlled admission with Priority Scheduling service type. It is ca...
Adrian Popescu, Parag Pruthi
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 2 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
CVPR
2011
IEEE
14 years 9 months ago
Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
Zhuolin Jiang, Zhe Lin, Larry Davis
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 2 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...