Zobrazeno 1 - 10
of 1 733
pro vyhledávání: '"penalized regression"'
Autor:
Eula Regina Carrara, Polliany da Costa Santos Oliveira, Layla Cristien de Cássia Miranda Dias, Weverton Gomes da Costa, Aline Rabello Conceição, Pedro Henrique Silva Braga, Mario Luiz Chizzotti, Renata Veroneze, Erica Beatriz Schultz
Publikováno v:
Revista Brasileira de Zootecnia, Vol 53 (2024)
ABSTRACT This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil. This prediction was based on dorsal-view images o
Externí odkaz:
https://doaj.org/article/d434d7d45e2d4ed7933d1e56cf205de0
Publikováno v:
IEEE Access, Vol 12, Pp 30638-30652 (2024)
The evaluation of time and frequency domain measures of coupling and causality relies on the parametric representation of linear multivariate processes. The study of temporal dependencies among time series is based on the identification of a Vector A
Externí odkaz:
https://doaj.org/article/95869a48c8a64229bc2dcefef5734ddf
Autor:
Nadia Alipour, Anoshirvan Kazemnejad, Mahdi Akbarzadeh, Farzad Eskandari, Asiyeh Sadat Zahedi, Maryam S Daneshpour
Publikováno v:
Cell Journal, Vol 25, Iss 8, Pp 536-545 (2023)
Objective: Metabolic syndrome (MetS) is a complex multifactorial disorder that considerably burdens healthcaresystems. We aim to classify MetS using regularized machine learning models in the presence of the risk variants ofGCKR, BUD13 and APOA5, and
Externí odkaz:
https://doaj.org/article/9dc48ce6eeaf4fdaaa2a42be37f825b5
Autor:
Hu Yuhan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Man and nature are interconnected and interdependent. The naturalization of man reflects the scientific nature of the landscape, the development of ecotourism is to establish the development of man and nature in harmony and unity of the development o
Externí odkaz:
https://doaj.org/article/e8474b16e961434a9bf89abea0dada7c
Autor:
Hao Shengli, Zhao Ling
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The healthy development of physical quality in the growth process of young children is an important prerequisite for their happy learning, and the effective teaching of gymnastics for young children can realize the effective improvement of young chil
Externí odkaz:
https://doaj.org/article/5628efd8a66a49e4b97d02dc845739bb
Publikováno v:
Symmetry, Vol 16, Iss 4, p 469 (2024)
We address the estimation of regression parameters for the ill-conditioned predictive linear model in this study. Traditional least squares methods often encounter challenges in yielding reliable results when there is multicollinearity. Therefore, we
Externí odkaz:
https://doaj.org/article/e1127b775a6445eb9cd3f8abd1361504
Publikováno v:
Journal of Statistical Software, Vol 106, Pp 1-33 (2023)
The R package MLGL, standing for multi-layer group-Lasso, implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high-dimensional data. A sparsity assumption is made that pos
Externí odkaz:
https://doaj.org/article/69f0ec05ef5e4bd9a63b3db029020104
coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-19 (2023)
Abstract Background One of the main challenges of microbiome analysis is its compositional nature that if ignored can lead to spurious results. Addressing the compositional structure of microbiome data is particularly critical in longitudinal studies
Externí odkaz:
https://doaj.org/article/7748b6a28c4a4beba6e23a5c4280e575
Publikováno v:
Large-scale Assessments in Education, Vol 10, Iss 1, Pp 1-21 (2022)
Abstract Background Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response v
Externí odkaz:
https://doaj.org/article/bc18219c074141eab31bcd4a59c44934
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background Prediction of patient survival from tumor molecular ‘-omics’ data is a key step toward personalized medicine. Cox models performed on RNA profiling datasets are popular for clinical outcome predictions. But these models are ap
Externí odkaz:
https://doaj.org/article/30b3c245ac8e4908a575d64d5719bc9e