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144
Voted
JMLR
2010
14 years 10 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
151
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CEC
2010
IEEE
15 years 5 months ago
2010
IEEE
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
145
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SIGIR
2008
ACM
15 years 3 months ago
2008
ACM
The primary business model behind Web search is based on textual advertising, where contextually relevant ads are displayed alongside search results. We address the problem of sel...
134
Voted
NLDB
2007
Springer
15 years 10 months ago
2007
Springer
Various methodologies for structuring the process of domain modeling have been proposed, but there are few software tools that provide automatic support for the process of construc...
161
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CIKM
2010
Springer
15 years 1 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...