202 search results - page 28 / 41 » Learning fault-tolerance in Radial Basis Function Networks |
ICANN
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
ESANN
2007
13 years 8 months ago
2007
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
CGO
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
BMCBI
2006
13 years 7 months ago
2006
Background: More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that dis...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...