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Variable Selection

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Showing 151–200 of 566 papers

TitleStatusHype
A Survey of Numerical Algorithms that can Solve the Lasso Problems—0
Consistent support recovery for high-dimensional diffusions—0
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection—0
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations—0
Consistent selection of tuning parameters via variable selection stability—0
A Statistical-Modelling Approach to Feedforward Neural Network Model Selection—0
Confounder Selection via Support Intersection—0
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models—0
A machine learning framework for neighbor generation in metaheuristic search—0
Active learning for binary classification with variable selection—0
Conditional Variable Selection for Intelligent Test—0
Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior—0
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition—0
Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy—0
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework—0
Comparison of Machine Learning Models in Food Authentication Studies—0
A Rank Minrelation - Majrelation Coefficient—0
A projection pursuit framework for testing general high-dimensional hypothesis—0
A least distance estimator for a multivariate regression model using deep neural networks—0
A convex formulation for high-dimensional sparse sliced inverse regression—0
Closed-form Estimators for High-dimensional Generalized Linear Models—0
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups—0
CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate—0
Applications of Machine Learning for the Ratemaking in Agricultural Insurances—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
APPLE: Approximate Path for Penalized Likelihood Estimators—0
Causal nearest neighbor rules for optimal treatment regimes—0
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics—0
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making—0
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs—0
Catching Change-points with Lasso—0
Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis—0
Breaking the Curse of Dimensionality with Convex Neural Networks—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
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
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—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
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Extensions of stability selection using subsamples of observations and covariates—0
Face Attributes as Cues for Deep Face Recognition Understanding—0
A novel nonconvex, smooth-at-origin penalty for statistical learning—0
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