326 search results - page 25 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
BMCBI
2004
13 years 8 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
AAAI
2006
13 years 9 months ago
2006
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
EUSFLAT
2007
13 years 10 months ago
2007
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
DIS
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...