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Cross-validation (statistics)
Known as:
Hold-out cross-validation
, LOOCV
, Rotation estimation
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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 criterion
Artificial neural network
Autoregressive model
Backtesting
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Broader (2)
Machine learning
Model selection
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
brms: An R Package for Bayesian Multilevel Models Using Stan
P. Bürkner
2017
Corpus ID: 73586718
The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of…
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Highly Cited
2015
Highly Cited
2015
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Aki Vehtari
,
A. Gelman
,
Jonah Gabry
Statistics and computing
2015
Corpus ID: 36568061
Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise…
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Highly Cited
2011
Highly Cited
2011
Estimation of prediction error by using K-fold cross-validation
Tadayoshi Fushiki
Statistics and computing
2011
Corpus ID: 21933061
Estimation of prediction accuracy is important when our aim is prediction. The training error is an easy estimate of prediction…
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Review
2011
Review
2011
A statistical explanation of MaxEnt for ecologists
J. Elith
,
Steven J. Phillips
,
T. Hastie
,
Miroslav Dudík
,
Y. Chee
,
C. Yates
2011
Corpus ID: 53348390
MaxEnt is a program for modelling species distributions from presence‐only species records. This paper is written for ecologists…
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Highly Cited
2005
Highly Cited
2005
Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/joc.1276 VERY HIGH RESOLUTION INTERPOLATED CLIMATE SURFACES FOR GLOBAL LAND AREAS
2005
Corpus ID: 8615577
Review
2000
Review
2000
Predictive habitat distribution models in ecology
A. Guisan
,
N. Zimmermann
2000
Corpus ID: 17473639
Highly Cited
2000
Highly Cited
2000
Model selection for probabilistic clustering using cross-validated likelihood
Padhraic Smyth
Statistics and computing
2000
Corpus ID: 15221012
Cross-validated likelihood is investigated as a tool for automatically determining the appropriate number of components (given…
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Highly Cited
1997
Highly Cited
1997
Wrappers for Feature Subset Selection
Ron Kohavi
,
George H. John
Artificial Intelligence
1997
Corpus ID: 15943670
Review
1995
Review
1995
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Ron Kohavi
International Joint Conference on Artificial…
1995
Corpus ID: 2702042
We review accuracy estimation methods and compare the two most common methods crossvalidation and bootstrap. Recent experimental…
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Highly Cited
1976
Highly Cited
1976
Cross‐Validatory Choice and Assessment of Statistical Predictions
M. Stone
1976
Corpus ID: 62698647
SUMMARY A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data…
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