96 search results - page 10 / 20 » Classifying large data sets using SVMs with hierarchical clu... |
BMCBI
2008
14 years 9 months ago
2008
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on ...
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ISCC
2006
IEEE
15 years 3 months ago
2006
IEEE
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
TSP
2008
14 years 8 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...