Leave-one-out error

Known as: Leave one out error 
* Expected-to-leave-one-out error () Stability An algorithm f has stability if for each n there exists a and a such that: , with and going to zero… (More)
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Topic mentions per year

Topic mentions per year

1999-2017
0519992017

Papers overview

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2014
2014
This paper extends the closed form calculation of the leave-one-out (LOO) error for least-squares support vector machines (LS… (More)
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2011
2011
We propose a new leaning method for Multiple Kernel Learning (MKL) based on the upper bounds of the leave-one-out error that is… (More)
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2009
2009
Error estimation is a problem of high current interest in many areas of application. This paper concerns the classical problem of… (More)
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2008
2008
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave… (More)
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2007
2007
A bound on the leave-one-out error for -support vector (SV) machine binary classifiers is presented. This bound is based on the… (More)
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2005
2005
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters… (More)
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2005
2005
Tuning multiple parameters for support vector machines is usually done by minimizing some estimates of the generalization error… (More)
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Highly Cited
2004
Highly Cited
2004
We study the leave-one-out and generalization errors of voting combinations of learning machines. A special case considered is a… (More)
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2004
2004
In this paper, we give an efficient method for computing the leave-one-out (LOO) error for support vector machines (SVMs) with… (More)
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Review
2004
Review
2004
  • C.P. Diehl
  • Proceedings of the 2004 14th IEEE Signal…
  • 2004
Leave-one-out (LOO) error estimation is an important statistical tool for assessing generalization performance. A number of… (More)
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