216 search results - page 3 / 44 » Building Support Vector Machines with Reduced Classifier Com... |
ESANN
2007
13 years 9 months ago
2007
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
JMLR
2008
13 years 7 months ago
2008
This paper investigates statistical performances of Support Vector Machines (SVM) and considers the problem of adaptation to the margin parameter and to complexity. In particular ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
CSL
2006
Springer
13 years 7 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...