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IBPRIA
2007
Springer
16 years 17 days ago
Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging
Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the m...
Adolfo Martínez Usó, Filiberto Pla, ...
CBSE
2008
Springer
15 years 8 months ago
A Component Selection Framework for COTS Libraries
Component-based software engineering proposes building complex applications from COTS (Commercial Off-The-Shelf) organized into component markets. Therefore, the main development e...
Bart George, Régis Fleurquin, Salah Sadou
ESANN
2008
15 years 7 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén
ESANN
2004
15 years 7 months ago
Regularizing generalization error estimators: a novel approach to robust model selection
Abstract. A well-known result by Stein shows that regularized estimators with small bias often yield better estimates than unbiased estimators. In this paper, we adapt this spirit ...
Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert M...
BMCBI
2007
143views more  BMCBI 2007»
15 years 6 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng