662 search results - page 37 / 133 » Training a Support Vector Machine in the Primal |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
JMLR
2010
14 years 4 months ago
2010
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
ICONIP
2007
14 years 11 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...