300 search results - page 6 / 60 » A genetic algorithm-based method for feature subset selectio... |
CIBCB
2008
IEEE
14 years 5 months ago
2008
IEEE
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
CORR
2006
Springer
13 years 11 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...
GECCO
2005
Springer
14 years 4 months ago
2005
Springer
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
CVPR
2004
IEEE
15 years 27 days ago
2004
IEEE
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...
AUSAI
2011
Springer
12 years 11 months ago
2011
Springer
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...