Zobrazeno 1 - 10 of 137 pro vyhledávání: '"C. LARIA"'
1
Akademický článek
Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach
Autor: Juan C. Laria, David Delgado-Gómez, Inmaculada Peñuelas-Calvo, Enrique Baca-García, Rosa E. Lillo
Publikováno v: Frontiers in Computational Neuroscience, Vol 15 (2021)
The deep lasso algorithm (dlasso) is introduced as a neural version of the statistical linear lasso algorithm that holds benefits from both methodologies: feature selection and automatic optimization of the parameters (including the regularization pa
Externí odkaz: https://doaj.org/article/3e8cbe07b29c4663952975873beb3cdc
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3
Akademický článek
Iterative Variable Selection for High-Dimensional Data: Prediction of Pathological Response in Triple-Negative Breast Cancer
Autor: Juan C. Laria, M. Carmen Aguilera-Morillo, Enrique Álvarez, Rosa E. Lillo, Sara López-Taruella, María del Monte-Millán, Antonio C. Picornell, Miguel Martín, Juan Romo
Publikováno v: Mathematics, Vol 9, Iss 3, p 222 (2021)
Over the last decade, regularized regression methods have offered alternatives for performing multi-marker analysis and feature selection in a whole genome context. The process of defining a list of genes that will characterize an expression profile
Externí odkaz: https://doaj.org/article/ffd2cb097a2a4861bef04e28e3c4f182
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6
cat.dt: An R package for fast construction of accurate Computerized Adaptive Tests using Decision Trees
Autor: Javier Rodríguez-Cuadrado, Juan,C. Laria, David Delgado-Gómez
This article introduces the cat.dt package for the creation of Computerized Adaptive Tests (CATs). Unlike existing packages, the cat.dt package represents the CAT in a Decision Tree (DT) structure. This allows building the test before its administrat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c70bc59f2bf5fdb2d42a6868202f9d65
https://hdl.handle.net/10016/37705
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7
An Iterative Sparse-Group Lasso
Autor: M. Carmen Aguilera-Morillo, Juan C. Laria, Rosa E. Lillo
Publikováno v: Journal of Computational and Graphical Statistics. 28:722-731
In high-dimensional supervised learning problems, sparsity constraints in the solution often lead to better performance and interpretability of the results. For problems in which covariates are gro...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::224a1af95e8052108f85783edd85b0c3
https://doi.org/10.1080/10618600.2019.1573687
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8
Iterative variable selection for high-dimensional data: Prediction of pathological response in triple-negative breast cancer
Autor: María del Monte-Millán, Sara López-Taruella, Juan Romo, M. Carmen Aguilera-Morillo, Juan C. Laria, Enrique Alvarez, Antonio C. Picornell, Rosa E. Lillo, Miguel Martín
Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Mathematics
Volume 9
Issue 3
Pages: 222
Mathematics, Vol 9, Iss 222, p 222 (2021)
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
Over the last decade, regularized regression methods have offered alternatives for performing multi-marker analysis and feature selection in a whole genome context. The process of defining a list of genes that will characterize an expression profile
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df30617160c0205883e2d9443541c3e
https://hdl.handle.net/10016/32185
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9
Computerized adaptive test and decision trees: A unifying approach
Autor: Juan C. Laria, Diego Ruiz-Hernández, David Delgado-Gómez
Publikováno v: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
In the last few years, several articles have proposed decision trees (DTs) as an alternative to computerized adapted tests (CATs). These works have focused on showing the differences between the two methods with the aim of identifying the advantages
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ae152e34f62c23592ce03c3802df55a
https://hdl.handle.net/10016/32910
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10
Stochastic Comparisons of Two-Units Repairable Systems
Autor: José E. Valdés, Juan C. Laria, Josué Corujo
We consider two models of two-units repairable systems: cold standby system and warm standby system. We suppose that the lifetimes and repair times of the units are all independent exponentially distributed random variables. Using stochastic orders w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f15c3b5d4b79da4c24744ffcb231c6c
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