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Variable Selection

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Showing 201–250 of 566 papers

TitleStatusHype
Face Attributes as Cues for Deep Face Recognition Understanding—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Extensions of stability selection using subsamples of observations and covariates—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends—0
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
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
Feature selection in functional data classification with recursive maxima hunting—0
An update on statistical boosting in biomedicine—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Flexible co-data learning for high-dimensional prediction—0
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning—0
Expectation propagation on the diluted Bayesian classifier—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
A novel nonconvex, smooth-at-origin penalty for statistical learning—0
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso—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
On feature selection in double-imbalanced data settings: a Random Forest approach—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
Exhaustive search for sparse variable selection in linear regression—0
Greedy Active Learning Algorithm for Logistic Regression Models—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—0
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks—0
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings—0
Group Regularized Estimation under Structural Hierarchy—0
Group Sparse Additive Machine—0
Estimating high-dimensional Markov-switching VARs—0
Bayesian Variable Selection for Globally Sparse Probabilistic PCA—0
Harnessing the Potential of Volatility: Advancing GDP Prediction—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
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