183 search results - page 6 / 37 » A New Hybrid Approach for Unsupervised Gene Selection |
ISDA
2009
IEEE
15 years 6 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
BMCBI
2005
14 years 11 months ago
2005
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
ICPR
2000
IEEE
16 years 25 days ago
2000
IEEE
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
106
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BMCBI
2010
14 years 12 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
129
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MMM
2012
Springer
13 years 7 months ago
2012
Springer
Abstract. Can we discover audio-visually consistent events from videos in a totally unsupervised manner? And, how to mine videos with different genres? In this paper we present our...