leave-one-out cross validation (LOOCV)
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
... Cross validation is often used to quantify the predic- tive ability of a statistical ...k-fold cross validation, the whole dataset is partitioned into k parts with k anal- yses, where ...
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Serum protein profiling using an aptamer array predicts clinical outcomes of stage IIA colon cancer: A leave-one-out cross- validation
... with one another to produce profiles of the aptamers bound to serum ...and leave-one- out cross-validation (LOOCV) were used to evaluate predictive ...
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Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
... Bayesian leave-one-out (LOO) cross- validation approximations that in most cases can be computed with a small additional cost after forming the posterior approximation given the full ...
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Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
... squares cross-validation that minimizes an average squared predictive error criterion at every point i in the data set using the fitted value obtained by leaving the point i out of the ...the ...
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LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data
... the LEAve-one-out Forward selection method (LEAF) for discovering informative genes embedded in expression data, and propose an additional algorithm for extending LEAF’s ...of ...
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Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
... the leave-one-out cross-validation is asymptotically equivalent to the Akaike information ...the cross-validation remains ...Bayes cross-validation loss and ...
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Discrimination of Wild Grown and Cultivated Ganoderma lucidum by Fourier Transform Infrared Spectroscopy and Chemometric Methods
... Leave-one-out cross-validation was used to train the algorithm by carrying out the PCDA or PLSDA classifi- cation rule on all the data except one site which was then ...
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Semiparametric penalty function method in partially linear model selection
... Remark 2.2. The method proposed in this paper generalizes those in Zheng and Loh (1995, 1997), Yao and Tong (1994), and Vieu (1994). For example, if D ∗ is already identified, then the problem becomes a model selection ...
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Comparison of cross-validation and bootstrap aggregating for building a seasonal streamflow forecast model
... Models out of any resampling thus can differ markedly, which leads us to the following question: Are there any bene- fits if the models resulting from resampling are combined in a systematic way? To address this ...
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Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region.
... region: one approach selecting the most similar atlas from a library of segmented images and two multi-atlas ...a leave-one-out cross-validation strategy, we measured geometric ...
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A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies
... (leave-one-out cross-validation (CV) errors) for a large number of combinations of the following seven factors: number of variables (p), training sample size (n), biological (or, ...
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Indicators of "Healthy Aging" in older women (65-69 years of age). A data-mining approach based on prediction of long-term survival
... (i.e., leave-one-out cross-validation; see above), and these scores were then standardized with respect to the base- line cohort of 4097 women ...cognitive out- comes and ...
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Differentiation between genetic mutations of breast cancer by breath volatolomics
... Mapping molecular sub-types in breast cancer (BC) tumours is a rapidly evolving area due to growing interest in, for example, targeted therapy and screening high-risk populations for early diagnosis. We report a new ...
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RGB color imaging to detect Aspergillus flavus infection in dates
... SAS to discriminate control dates from fungus infected dates of Fard, Khalas and Naghal using the 64 extracted features.. Both LDA and QDA with leave-one-out cross- validation method [r] ...
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Active touch in sea otters: in air and underwater texture discrimination thresholds and behavioral strategies for paws and vibrissae
... the leave-one-out cross-validation information criterion (LOOIC) to compare models, computing LOOIC and Δ LOOIC for each model (Vehtari et ...
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Feasibility of near infrared spectroscopy for analysis of date fruits
... and leave-one-out cross validation (75%) as well as 50 samples for test set or external validation (25%) were ...of cross validation (RMSECV) against the number of ...
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Quantitative structure-retention relationships applied to chromatographic retention of ecotoxicity of anilines and phenols
... The aim of the present study is the estimation of optimal descriptors ability calculated by linear regression (the partial least squares (PLS) and non-linear regressions (the kernel partial least squares (KPLS) and ...
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Issues in performance evaluation for host–pathogen protein interaction prediction
... is one of the computational approaches that can be used to assist biologists by predicting promising ...K-fold cross validation for this ...K-fold cross validation for estimating the ...
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Data-driven model development in environmental geography - Methodological advancements and scientific applications
... (strict) leave-one-station-out cross-validation indicate that both models accurately predicted soil temperature, while predictive power was lower for water content, and lowest for ...
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Combined classification error rate estimator for the Fisher linear classifier
... (resub), leave-one-out (loo), repeated 10-fold cross-validation (rcv10), repeated 2-fold cross-validation (rcv2), basic bootstrap (bboot) ...2-fold cross- ...
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