217 search results - page 2 / 44 » Training Hard-Margin Support Vector Machines Using Greedy St... |
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
ICONIP
2007
13 years 6 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...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
NIPS
1998
13 years 5 months ago
1998
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
CIARP
2010
Springer
13 years 1 months ago
2010
Springer
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...