Sciweavers

83 search results - page 1 / 17
» On the Use of Variable Complementarity for Feature Selection...
Sort
View
63
Voted
EVOW
2006
Springer
15 years 3 months ago
On the Use of Variable Complementarity for Feature Selection in Cancer Classification
Patrick Emmanuel Meyer, Gianluca Bontempi
IJON
2006
146views more  IJON 2006»
14 years 11 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
125
Voted
CANDC
2005
ACM
14 years 11 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
CIBCB
2005
IEEE
15 years 5 months ago
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
Thorhildur Juliusdottir, David Corne, Ed Keedwell,...