22 search results - page 2 / 5 » Resilient Approximation of Kernel Classifiers |
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
SISAP
2009
IEEE
14 years 2 days ago
2009
IEEE
—In the demonstration we will show a system for searching by similarity and automatically classifying images in a very large dataset. The demonstrated techniques are based on the...
TIP
2008
13 years 5 months ago
2008
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
PRL
2008
13 years 5 months ago
2008
This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten character recognition. Each t...
COLT
1999
Springer
13 years 9 months 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...