66 search results - page 6 / 14 » Classifier design with feature selection and feature extract... |
BMCBI
2004
13 years 10 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
KDD
2000
ACM
14 years 1 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
GECCO
2003
Springer
14 years 3 months ago
2003
Springer
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
GPEM
2000
13 years 10 months ago
2000
Genetic programming, in conjunction with advanced analytical instruments, is a novel tool for the investigation of complex biological systems at the whole-tissue level. In this stu...