150 search results - page 17 / 30 » Feature selection combining genetic algorithm and Adaboost c... |
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EVOW
2006
Springer
15 years 1 months ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
127
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EUSFLAT
2009
14 years 7 months ago
2009
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...
79
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JUCS
2008
14 years 9 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a nov...