1405 search results - page 58 / 281 » Anytime Algorithm for Feature Selection |
111
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SBBD
2000
15 years 3 months ago
2000
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
161
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CORR
2011
Springer
14 years 9 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
139
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JMLR
2006
15 years 1 months ago
2006
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
ICDM
2008
IEEE
15 years 8 months ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
115
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BIOINFORMATICS
2006
15 years 2 months ago
2006
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...