148 search results - page 6 / 30 » Feature Selection for Support Vector Machines by Means of Ge... |
ICCTA
2007
IEEE
2007
IEEE
Digital Signal Types Identification Using a Hierarchical SVM-Based Classifier and Efficient Features
13 years 8 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...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
BMCBI
2005
13 years 8 months ago
2005
Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
MCS
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
BMCBI
2008
13 years 8 months ago
2008
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...