1416 search results - page 161 / 284 » Optimal feature selection for support vector machines |
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
ISNN
2011
Springer
13 years 2 days ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
BMCBI
2004
13 years 9 months ago
2004
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...