616 search results - page 19 / 124 » Feature selection through gravitational search algorithm |
EVOW
2006
Springer
15 years 1 months ago
2006
Springer
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
PKDD
2004
Springer
15 years 2 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
ACIVS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...