6 search results - page 1 / 2 » COFFIN: A Computational Framework for Linear SVMs |
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
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...
ESANN
2004
13 years 6 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...