962 search results - page 69 / 193 » Redundancy based feature selection for microarray data |
103
click to vote
BMCBI
2010
14 years 10 months ago
2010
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
BMCBI
2006
14 years 9 months ago
2006
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
ICTAI
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
ESEM
2008
ACM
14 years 11 months ago
2008
ACM
To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set bas...
FGR
2004
IEEE
15 years 1 months ago
2004
IEEE
Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gab...