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129
Voted
BMCBI
2007
15 years 18 days ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
102
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BMCBI
2006
15 years 19 days ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
130
Voted
MCS
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
100
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CIDM
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
129
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KDD
2007
ACM
16 years 1 months ago
2007
ACM
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...