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NCA
2010
IEEE
13 years 6 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 11 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
ARC
2009
Springer
188views Hardware» more  ARC 2009»
14 years 2 months ago
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
ITIIS
2010
138views more  ITIIS 2010»
13 years 2 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...