leave-one-out cross validation
Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
... Since contextual data using geographic filters may be affected by the heterogeneity of population distributions [31], we tested the leave-one-out cross validation approach on various ...
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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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Semiparametric penalty function method in partially linear model selection
... semiparametric leave– more–out cross–validation selection procedure for the choice of both the parametric and nonparametric regressors in a nonlinear time series regression ...the ...
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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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Comparison of cross-validation and bootstrap aggregating for building a seasonal streamflow forecast model
... by leave-one-out cross- validation, and a bagged model, which employs the bootstrap technique in order to build an ensemble of ...the out-of-bag prediction error estimate, which ...
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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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Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
... the leave-one-out cross-validation in Bayes estimation is asymptotically equal to the widely applicable information criterion and that the sum of the cross-validation ...
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LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data
... gene one-by-one and ultimately identifies a set of genes (a gene ranking) that is informative for disease ...by leave-one- out cross validation (LOOCV) ...First, ...
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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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Differentiation between genetic mutations of breast cancer by breath volatolomics
... using leave-one-out cross-validation on a training set, with higher accuracy (88%) when healthy volunteers were ...of one-third of the samples yielded 83% accuracy, 84% ...
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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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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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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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Combined classification error rate estimator for the Fisher linear classifier
... is one of the most important issues in machine learning and pattern ...biased. One way to correct this bias is to use a linear combination of two different error rate ...resubstitution, ...
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Fast kernel classifier construction using orthogonal forward selection to minimise leave one out misclassification rate
... y ( − i) (i) = sgn(f ( − i) (i)). (13) It is highly desirable to derive a classifier with good generalisation capability, i.e. to derive a classifier with a minimal misclassification error rate over a new data set that is ...
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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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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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Making Personalised Flight Recommendations using Implicit Feedback
... The implementation of the Travel Service Agents posed a particular challenge in the context of the PTA application. We hoped that by allowing users access to real flights information and the capability of actually ...
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