18 search results - page 2 / 4 » Efficient huge-scale feature selection with speciated geneti... |
ICCTA
2007
IEEE
2007
IEEE
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
13 years 5 months ago
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
IJON
2006
13 years 4 months ago
2006
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...
CORR
2006
Springer
13 years 4 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...
PRL
2007
13 years 4 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...