1403 search results - page 24 / 281 » Sampling Techniques for Kernel Methods |
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
DIS
2008
Springer
14 years 11 months ago
2008
Springer
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
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BMCBI
2008
14 years 9 months ago
2008
Background: In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differe...
BMCBI
2006
14 years 9 months ago
2006
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...