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Variable Selection

Papers

Showing 21–30 of 566 papers

TitleStatusHype
On feature selection in double-imbalanced data settings: a Random Forest approach—0
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space—0
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making—0
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs—0
A least distance estimator for a multivariate regression model using deep neural networks—0
Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy—0
A machine learning framework for neighbor generation in metaheuristic search—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
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