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134
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CIKM
2010
Springer
14 years 10 months ago
Regularization and feature selection for networked features
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, ...
Hongliang Fei, Brian Quanz, Jun Huan
134
Voted
WCRE
2010
IEEE
14 years 11 months ago
Software Process Recovery: Recovering Process from Artifacts
—Often stakeholders, such as developers, managers, or buyers, want to find out what software development processes are being followed within a software project. Their reasons in...
Abram Hindle
124
Voted
BMCBI
2006
164views more  BMCBI 2006»
15 years 1 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta