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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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Related topics

Related topics

49 relations
Akaike information criterionArtificial neural networkAutoregressive modelBacktesting

Broader (2)

Machine learningModel selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2010
Review
2010
Do spectra improve distance measurements of Type Ia supernovae
We investigate the use of a wide variety of spectroscopic measurements to determine distances to low-redshift Type Ia supernovae… 
Highly Cited
2005
Highly Cited
2005
Evaluation of a Food Frequency Questionnaire-Food Composition Approach for Estimating Dietary Intake of Inorganic Arsenic and Methylmercury 1
  • 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… 
Highly Cited
2002
Highly Cited
2002
A NOVEL APPROACH FOR THE ANALYSIS OF HIGH-FREQUENCY VIBRATIONS
Abstract Despite much effort in the past few decades, the numerical prediction of high-frequency vibrations remains a challenging… 
Highly Cited
2002
Highly Cited
2002
Classification of Mammographic Breast Density Using a Combined Classifier Paradigm
In this paper we investigate a new approach to the classification of mammographic images according to breast type. The… 
Highly Cited
1998
Highly Cited
1998
Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture
Pruning methods for feed-forward artificial neural networks trained by the cascade-correlation learning algorithm are proposed… 
Highly Cited
1998
Highly Cited
1998
A geostatistical method for soil salinity sample site spacing
Highly Cited
1996
Highly Cited
1996
Prediction of Aqueous Solubility for a Diverse Set of Heteroatom-Containing Organic Compounds Using a Quantitative Structure-Property Relationship
The primary goal of a quantitative structure−property relationship (QSPR) is to identify a set of structurally based numerical… 
Highly Cited
1996
Highly Cited
1996
Cross-validated structure selection for neural networks
Highly Cited
1994
Highly Cited
1994
Wavelet regression by cross-validation,
This paper is about using wavelets for regression. The main aim of the paper is to introduce and develop a cross-validation… 
Review
1993
Review
1993
Environmental and Regional Determinants of Anopheles (Diptera: Culicidae) Larval Distribution in Belize, Central America
Surveys of Anopheles larval habitats in northern Belize were carried out during September 1990 and April 1991. At each site… 
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