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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… 
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Papers overview

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2016
2016
Finding an appropriate and accurate technology for early detection of disease is significantly important to research early… 
2012
2012
This paper presents a method for automatic segmentation of the prostate from transversal T2-weighted images based on 3D Active… 
2012
2012
Medical science industry has huge amount of data, but most of this data is not mined to find out hidden information in data… 
2011
2011
So far, only a few studies have been carried out in central European forests to estimate individual tree stem volume of pine… 
2011
2011
The knowledge of spatial variability of rainfall is important in many agricultural and environmental sciences applications, such… 
Review
2008
Review
2008
In this chapter, we test the validity of metrics that were defined in the previous chapter for predicting errors in EPC business… 
2007
2007
We present a supervised pattern classifier based on optimum path forest. The samples in a training set are nodes of a complete… 
Highly Cited
2005
Highly Cited
2005
  • PalgeL. B.
  • 2005
  • Corpus ID: 5190029
Inorganic arsenic intake in 969 men and women and methylmercury intake in 785 men and women from across the United States were… 
2005
2005
In this paper, a probabilistic measure for reliability of speaker verification under noisy acoustic conditions is proposed. A… 
2004
2004
Statistical region-based segmentation methods such as the Active Appearance Model (AAM) are used for establishing dense…