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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… Expand
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Papers overview

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Review
2011
Review
2011
MaxEnt is a program for modelling species distributions from presence-only species records. This paper is written for ecologists… Expand
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Review
2010
Review
2010
Used to estimate the risk of an estimator or to perform model selection, cross-validation is a widespread strategy because of its… Expand
Highly Cited
2010
Highly Cited
2010
In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting research into automatically detecting individual… Expand
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Highly Cited
2007
Highly Cited
2007
Consider the ridge estimate (λ) for β in the model unknown, (λ) = (X T X + nλI)−1 X T y. We study the method of generalized cross… Expand
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Highly Cited
1997
Highly Cited
1997
Abstract In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset… Expand
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Review
1995
Review
1995
We review accuracy estimation methods and compare the two most common methods crossvalidation and bootstrap. Recent experimental… Expand
Highly Cited
1994
Highly Cited
1994
We address the problem of finding a subset of features that allows a supervised induction algorithm to induce small high-accuracy… Expand
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Highly Cited
1993
Highly Cited
1993
Regularization algorithms are often used to produce reasonable solutions to ill-posed problems. The L-curve is a plot—for all… Expand
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Highly Cited
1992
Highly Cited
1992
This paper introduces stacked generalization, a scheme for minimizing the generalization error rate of one or more generalizers… Expand
Highly Cited
1974
Highly Cited
1974
SUMMARY A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data… Expand