2010 search results - page 2 / 402 » Feature Subset Selection Using a Genetic Algorithm |
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
ROBIO
2006
IEEE
13 years 11 months ago
2006
IEEE
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
SGAI
2004
Springer
13 years 11 months ago
2004
Springer
In Wrapper based feature selection, the more states that are visited during the search phase of the algorithm the greater the likelihood of finding a feature subset that has a high...
GECCO
2007
Springer
13 years 12 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...