Cross-validation (statistics)

Known as: Hold-out cross-validation, LOOCV, Rotation estimation 
Cross-validation, sometimes called rotation estimation, is a model validation technique for assessing how the results of a statistical analysis will… (More)
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Highly Cited
2010
Highly Cited
2010
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of… (More)
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Highly Cited
2007
Highly Cited
2007
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2007
Highly Cited
2007
Classifying groups of individuals based on their metabolic profile is one of the main topics in metabolomics research. Due to the… (More)
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Highly Cited
2005
Highly Cited
2005
Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have… (More)
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Highly Cited
2004
Highly Cited
2004
MOTIVATION Microarray classification typically possesses two striking attributes: (1) classifier design and error estimation are… (More)
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Highly Cited
2003
Highly Cited
2003
When QSAR models are fitted, it is important to validate any fitted model-to check that it is plausible that its predictions will… (More)
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Highly Cited
2001
Highly Cited
2001
In order to choose correctly the dimension of calibration model in chemistry, a new simple and effective method named Ž . Monte… (More)
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Highly Cited
1996
Highly Cited
1996
Wavelets are orthonormal basis functions with special prop erties that show potential in many areas of mathematics and statistics… (More)
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Highly Cited
1994
Highly Cited
1994
Learning of continuous valued functions using neural network ensembles (committees) can give improved accuracy, reliable… (More)
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Highly Cited
1992
Highly Cited
1992
In recent years, the focus of study in smoothing parameter selection for kernel density estimation has been on the univariate… (More)
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