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Listar por palabra clave "Cross-validation"

Mostrando ítems 1-10 de 10

A Comparison of Forecasting Mortality Models Using Resampling Methods

Atance, David; Debón Aucejo, Ana María; Navarro, Eliseo (MDPI AG, 2020-09)

[EN] The accuracy of the predictions of age-specific probabilities of death is an essential objective for the insurance industry since it dramatically affects the proper valuation of their products. Currently, it is crucial ...
Analysis of cross-validation methods for robust retrieval of biophysical parameters

Pérez-Planells, Ll.; Delegido, J.; Rivera-Caicedo, J. P.; Verrelst, J. (Universitat Politècnica de València, 2015-12-22)

[EN] Non-parametric regression methods are powerful statistical methods to retrieve biophysical parameters from remote sensing measurements. However, their performance can be affected by what has been presented during the ...
Aplicación de técnicas de machine earning para la predicción de muestras tumorales de cáncer de mama invasivo en el contexto del Proyecto TCGA-BRCA):l

Garabal Castro, Álvaro (Universitat Politècnica de València, 2024-09-17)

[ES] El proyecto TCGA (The Cancer Genome Atlas) es una iniciativa del Instituto Nacional del Cáncer (NCI) y el Instituto Nacional para la Investigación del Genoma Humano de los Estados Unidos (NHGRI), que busca identificar ...
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?

Adin, Aritz; Teixeira Krainski, Elias; Lenzi, Amanda; Liu, Zhedong; Martínez-Minaya, Joaquín; Rue, Haavard (Elsevier, 2024-08)

[EN] Standard techniques such as leave-one-out cross-validation (LOOCV) might not be suitable for evaluating the predictive performance of models incorporating structured random effects. In such cases, the correlation ...
Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical Aspects

Camacho Páez, José; Ferrer Riquelme, Alberto José (Elsevier, 2014-02-15)

This is the second paper of a series devoted to provide theoretical and practical results and new algorithms for the selection of the number of Principal Components (PCs) in Principal Component Analysis (PCA) using ...
Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: theoretical aspects

Camacho Páez, José; Ferrer Riquelme, Alberto José (Wiley, 2012-07)

[EN] Cross-validation has become one of the principal methods to adjust the meta-parameters in predictive models. Extensions of the cross-validation idea have been proposed to select the number of components in principal ...
Evaluando el desempeño de índices espectrales para identificar humedales alto andinos

Aponte-Saravia, J.; Ospina-Noreña, J. E. (Universitat Politècnica de València, 2019-06-27)

[EN] High Andean wetlands are habitats critical to life forms that have adapted to these extreme high mountain ecosystems, and for living beings that inhabit the lower parts of the basin; they are spaces that contain high ...
Genetic evaluation combining purebred and crossbred data in a pig breeding scheme

Ibáñez-Escriche, Noelia; Reixach, J.; Lleonart, N.; Noguera, J. L. (American Society of Animal Science, 2011-12)

[EN] Genetic evaluations using purebred data alone and combined purebred and crossbred information were performed for lean meat percentage in a pig breeding scheme. One purebred (PB) model and 2 crossbred models (CCPS1 and ...
Monitorization of Atlantic salmon (Salmo salar) spoilage using an optoelectronic nose

Zaragozá Torres, Patricia; Fernández Segovia, Isabel; Fuentes López, Ana; Vivancos, José-Luis; Ros-Lis, José Vicente; Barat Baviera, José Manuel; Martínez-Máñez, Ramón (Elsevier, 2014-05)

[EN] An optoelectronic nose for monitoring Atlantic salmon (Salmo salar) spoilage has been developed. The chromogenic array uses eight sensing materials containing pH and a Lewis acid indicator adsorbed in aluminium oxide ...
Study of using marker assisted selection on a beef cattle breeding program by model comparison

Rezende, F.; Ferraz, J.B.S.; Eler, J.P.; Silva, R.C.G.; Mattos, E.C.; Ibáñez-Escriche, Noelia (Elsevier, 2012-08)

[EN] A data set of a commercial Nellore beef cattle selection program was used to compare breeding models that assumed or not markers effects to estimate the breeding values, when a reduced number of animals have phenotypic, ...