244 search results - page 10 / 49 » Oscillating Search Algorithms for Feature Selection |
ROBIO
2006
IEEE
14 years 1 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 ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...