336 search results - page 21 / 68 » Optimizing resources in model selection for support vector m... |
ICONIP
2007
13 years 8 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...
DCC
2009
IEEE
14 years 7 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
ICPPW
2007
IEEE
14 years 1 months ago
2007
IEEE
Several challenges about computational grid exist in integrating, coordinating and managing of resources and scheduling of applications, due to distributed resources at various le...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
SEAL
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...