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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

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2016
2016
Combination of stationary wavelet transform and kernel support vector machines for pathological brain detection
Finding an appropriate and accurate technology for early detection of disease is significantly important to research early… 
2012
2012
Prostate MR image segmentation using 3D active appearance models
This paper presents a method for automatic segmentation of the prostate from transversal T2-weighted images based on 3D Active… 
2012
2012
Decision Support System for Cardiovascular Heart Disease Diagnosis using Improved Multilayer Perceptron
Medical science industry has huge amount of data, but most of this data is not mined to find out hidden information in data… 
Review
2011
Review
2011
QSO Selection Algorithm Using Time Variability and Machine Learning: Selection of 1,620 QSO Candidates from MACHO LMC Database
We present a new QSO selection algorithm using a Support Vector Machine (SVM), a supervised classification method, on a set of… 
2007
2007
Design of robust pattern classifiers based on optimum-path forests
We present a supervised pattern classifier based on optimum path forest. The samples in a training set are nodes of a complete… 
2006
2006
A Novel QSAR Model for Evaluating and Predicting the Inhibition Activity of Dipeptidyl Aspartyl Fluoromethylketones
A linear quantitative structure activity relationship model is obtained using Multiple Linear Regression (MLR) analysis as… 
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… 
Review
2003
Review
2003
Classification of Emotions in Internet Chat: An Application of Machine Learning Using Speech Phonemes
This article reports our progress in the classification of expressions of emotion in network-based chat conversations. Emotion… 
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
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…