1403 search results - page 68 / 281 » Sampling Techniques for Kernel Methods |
SSDBM
2008
IEEE
15 years 4 months ago
2008
IEEE
Random sampling is a popular technique for providing fast approximate query answers, especially in data warehouse environments. Compared to other types of synopses, random sampling...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition...
BIOINFORMATICS
2005
14 years 9 months ago
2005
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
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SDM
2012
SIAM
13 years 8 days ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
WWW
2006
ACM
15 years 10 months ago
2006
ACM
We revisit a problem introduced by Bharat and Broder almost a decade ago: how to sample random pages from the corpus of documents indexed by a search engine, using only the search...