433 search results - page 47 / 87 » Local-Learning-Based Feature Selection for High-Dimensional ... |
BMCBI
2005
13 years 7 months ago
2005
Background: It is common for the results of a microarray study to be analyzed in the context of biologically-motivated groups of genes such as pathways or Gene Ontology categories...
BMCBI
2004
13 years 7 months ago
2004
Background: When publishing large-scale microarray datasets, it is of great value to create supplemental websites where either the full data, or selected subsets corresponding to ...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in bi...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...