SOTAVerified

Variable Selection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 566 papers

TitleStatusHype
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening—0
False Discovery Rate Control via Debiased Lasso—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
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
An update on statistical boosting in biomedicine—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—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
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Feature selection in functional data classification with recursive maxima hunting—0
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Expectation propagation on the diluted Bayesian classifier—0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
Flexible co-data learning for high-dimensional prediction—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
On feature selection in double-imbalanced data settings: a Random Forest approach—0
Exhaustive search for sparse variable selection in linear regression—0
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models—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
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks—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
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
Greedy Active Learning Algorithm for Logistic Regression Models—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
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction—0
Estimating high-dimensional Markov-switching VARs—0
Bayesian Variable Selection for Globally Sparse Probabilistic PCA—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
Group Regularized Estimation under Structural Hierarchy—0
Group Sparse Additive Machine—0
A general multiblock method for structured variable selection—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Harnessing the Potential of Volatility: Advancing GDP Prediction—0
Equitability of Dependence Measure—0
Show:102550
← PrevPage 5 of 12Next →

No leaderboard results yet.