Results 31 to 40 of about 1,288,237 (252)
Fault Relevant Variable Selection for Fault Diagnosis
IEEE Access, 2020 In process monitoring, fault relevant variable selection and fault diagnosis are two important branches. But they are often discussed independently and scarcely integrated in research.
Ruixiang Deng +2 more
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IEEE Access, 2022 Population health is multidimensional in nature, having complex relationships with the various health determinants. However, most previous studies investigate a single dimension of population health using linear models, failing to capture the ...
Zhiyuan Wei +2 more
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Environmental Health, 2017 Background There is growing interest in examining the simultaneous effects of multiple exposures and, more generally, the effects of mixtures of exposures, as part of the exposome concept (being defined as the totality of human environmental exposures ...
Jose Barrera-Gómez +14 more
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Analysis of Information-Based Nonparametric Variable Selection Criteria
Entropy, 2020 We consider a nonparametric Generative Tree Model and discuss a problem of selecting active predictors for the response in such scenario. We investigated two popular information-based selection criteria: Conditional Infomax Feature Extraction (CIFE) and ...
Małgorzata Łazęcka, Jan Mielniczuk
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Statistical Theory and Related FieldsVariable selection identifies the best subset of covariates when building the prediction model, among all possible subsets. In this paper, we propose a novel reinforced variable selection method, called ‘Actor-Critic-Predictor’. The actor takes an action
Yuan Le, Yang Bai, Fan Zhou
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Extreme Gradient Boosting Combined with Conformal Predictors for Informative Solubility Estimation
Molecules, 2023 We used the extreme gradient boosting (XGB) algorithm to predict the experimental solubility of chemical compounds in water and organic solvents and to select significant molecular descriptors.
Ozren Jovic, Rabah Mouras
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Feature Selection based on the Local Lift Dependence Scale
Entropy, 2018 This paper uses a classical approach to feature selection: minimization of a cost function applied on estimated joint distributions. However, in this new formulation, the optimization search space is extended.
Diego Marcondes +2 more
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Remote Sensing, 2022 Tea is second only to water as the world’s most popular drink and it is consumed in various forms, such as black and green teas. A range of cultivars has therefore been developed in response to customer preferences.
Rei Sonobe, Yuhei Hirono
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Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables [PDF]
Heliyon, 2021 The selection of a descriptor, X, is crucial for improving the interpretation and prediction accuracy of a regression model. In this study, the prediction accuracy of models constructed using the selected X was determined and the results of variable selection, according to the number of selected X and number of selected variables that are unrelated to ...
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Variable Selection in Multivariable Regression Using SAS/IML
Journal of Statistical Software, 2002 This paper introduces a SAS/IML program to select among the multivariate model candidates based on a few well-known multivariate model selection criteria. Stepwise regression and all-possible-regression are considered.
Ali A. Al-Subaihi
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