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Variable Selection

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Showing 301–325 of 566 papers

TitleStatusHype
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)—0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation—0
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm—0
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes—0
Feature and Variable Selection in Classification—0
Bayesian forecast combination using time-varying features—0
Feature selection in functional data classification with recursive maxima hunting—0
Feature Selection through Minimization of the VC dimension—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Federated Data Analytics: A Study on Linear Models—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Flexible co-data learning for high-dimensional prediction—0
Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models—0
Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
Fuzzy clustering of distribution-valued data using adaptive L2 Wasserstein distances—0
GAM(L)A: An econometric model for interpretable Machine Learning—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Generalized Sparse Additive Model with Unknown Link Function—0
Global sensitivity analysis for optimization with variable selection—0
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology—0
Gradient-based kernel method for feature extraction and variable selection—0
Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances—0
Greedy Active Learning Algorithm for Logistic Regression Models—0
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