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186
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BMCBI
2005
15 years 6 months ago
2005
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
161
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
182
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DBA
2006
15 years 7 months ago
2006
In order to facilitate query processing, the information contained in data warehouses is typically stored as a set of materialized views. Deciding which views to materialize prese...
123
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
160
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IEAAIE
2003
Springer
15 years 11 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...