Results 1 to 10 of about 8,137,182 (304)
Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction
G3: Genes, Genomes, Genetics, 2016 Cross-validation of methods is an essential component of genome-enabled prediction of complex traits. We develop formulae for computing the predictions that would be obtained when one or several cases are removed in the training process, to become ...
Daniel Gianola, Chris-Carolin Schön
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Bernoulli, 2023 In many applications, we have access to the complete dataset but are only interested in the prediction of a particular region of predictor variables. A standard approach is to find the globally best modeling method from a set of candidate methods. However, it is perhaps rare in reality that one candidate method is uniformly better than the others.
Zhang, Jiawei, Ding, Jie, Yang, Yuhong
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Missing value imputation using least squares techniques in contaminated matrices
MethodsX, 2022 This paper describes strategies to reduce the possible effect of outliers on the quality of imputations produced by a method that uses a mixture of two least squares techniques: regression and lower rank approximation of a matrix.
Marisol Garcia-Peña +2 more
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Applied Sciences, 2020 The leave-one-out cross validation (LOO-CV), which is a model-independent evaluate method, cannot always select the best of several models when the sample size is small.
Liye Lv, Xueguan Song, Wei Sun
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Computer simulation of Cerebral Arteriovenous Malformation—validation analysis of hemodynamics parameters [PDF]
PeerJ, 2017 Problem The purpose of this work is to provide some validation methods for evaluating the hemodynamic assessment of Cerebral Arteriovenous Malformation (CAVM).
Y. Kiran Kumar +2 more
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The Problem of Measurement Equivalence or Invariance in Instruments
International Journal of Assessment Tools in Education, 2021 The purpose of this study is to discuss the validity of equivalence in the sample groups of young and adult; females and males in the scale of assessing the attitudes towards foreign language skills and to offer the researchers that will use this scale ...
Tülin (otbiçer) Acar
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Comprehensive validation of silicon cross sections
Nuclear Engineering and Technology, 2020 Silicon, especially silicon in the form of SiO2, is a major component of rocks. Final spent fuel storages, which are being designed, are located in suitable rock formations in the Earth's crust.
Tomáš Czakoj +5 more
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Balanced Leave-One-Subject-Out Cross- Validation for Microsleep Classification
Current Directions in Biomedical Engineering, 2021 Inter-individual differences in the feature distribution of electroencephalograms (EEG) during microsleep (MS) raise questions about the generalizability of the methodology, because methodology should have the same validity for subjects to be included in
Pauli Martin Patrick +2 more
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Monte Carlo cross-validation for a study with binary outcome and limited sample size
BMC Medical Informatics and Decision Making, 2022 Cross-validation (CV) is a resampling approach to evaluate machine learning models when sample size is limited. The number of all possible combinations of folds for the training data, known as CV rounds, are often very small in leave-one-out CV ...
Guogen Shan
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IEEE Access, 2023 Analyzing crowded environments has become an increasingly researched topic in computer vision community, largely due to its myriad practical applications, including enhanced video surveillance systems and the estimation of crowd density in specific ...
Mohammed Sultan Mohammed +5 more
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