212 search results - page 7 / 43 » Optimal sampling of genetic algorithms on polynomial regress... |
HICSS
2006
IEEE
14 years 1 months ago
2006
IEEE
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
GECCO
2009
Springer
14 years 12 hour ago
2009
Springer
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...