„variable selection“
Suchergebnisse
988 Treffer
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Oviposition site selection in a complex and variable environment: the role of habitat quality and conspecific cues
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Variable Selection in Multivariate Functional Linear Regression
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Multivariate Calibration of the Composition of Low-Alloy Steels Using Preprocessed Low-Resolution Emission Spectra with Spectral Variables Selection
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A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior
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Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude
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A note on the sample selection (switching regression) model and treatment effects for a log-transformed outcome variable, in the context of residential self-selection
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BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies
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Variable selection using a smooth information criterion for distributional regression models
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Variable selection and regularization via arbitrary rectangle-range generalized elastic net
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Robust variable selection with exponential squared loss for partially linear spatial autoregressive models
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Feature selection in machine learning via variable neighborhood search
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Chance Correlation in Variable Subset Regression: Influence of the Objective Function, the Selection Mechanism, and Ensemble Averaging
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Resolution of Differential Pulse Voltammetric Peaks Using Genetic Algorithm Based Variable Selection‐Partial Least Squares and Principal Component‐Artificial Neural Networks
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Prediction of chromatographic relative retention time of polychlorinated biphenyls from the molecular electronegativity distance vector
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The Effect of Variable Selection on the Non‐linear Modelling of Oestrogen Receptor Binding
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Maximally Selected Chi‐Square Statistics and Binary Splits of Nominal Variables
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Modified Ant Colony Optimization Algorithm for Variable Selection in QSAR Modeling: QSAR Studies of Cyclooxygenase Inhibitors.
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Rapid detection of sunset yellow adulteration in tea powder with variable selection coupled to machine learning tools using spectral data
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Maximally Selected Chi‐square Statistics for Ordinal Variables
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De-noising boosting methods for variable selection and estimation subject to error-prone variables