2006 search results - page 2 / 402 » Classification and feature selection with human performance ... |
GECCO
2007
Springer
13 years 11 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...
BMCBI
2005
13 years 4 months ago
2005
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
ICIAP
2005
ACM
14 years 5 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
AUSAI
2007
Springer
13 years 9 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
BMCBI
2007
13 years 5 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...