JMLR
2008
13 years 4 months ago
2008
This paper develops bounds on out-of-sample error rates for support vector machines (SVMs). The bounds are based on the numbers of support vectors in the SVMs rather than on VC di...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
IJNSEC
2006
13 years 4 months ago
2006
Access control is an important issue in information security. It is a necessary mechanism for protecting data in a computer system. In this paper, we apply support vector machines...
CSL
2006
Springer
13 years 4 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
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...
IAJIT
2008
13 years 4 months ago
2008
: In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
BMCBI
2006
13 years 4 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
GPEM
2008
13 years 4 months ago
2008
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
ANOR
2006
13 years 4 months ago
2006
Epilepsy is among the most common brain disorders. Approximately 25
CORR
2010
Springer
2010
Springer
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
13 years 4 months ago
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...