136 search results - page 5 / 28 » A Reformulation of Support Vector Machines for General Confi... |
EMMCVPR
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
ESANN
2004
13 years 10 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
CIKM
2004
Springer
14 years 2 months ago
2004
Springer
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
COLT
1999
Springer
14 years 26 days ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
DATAMINE
1998
13 years 8 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...