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Variable Selection

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Showing 1–50 of 566 papers

TitleStatusHype
Neural interval-censored survival regression with feature selectionCode2
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
Flexible Bayesian Nonlinear Model ConfigurationCode1
Invariant Causal Prediction for Block MDPsCode1
Exact Combinatorial Optimization with Graph Convolutional Neural NetworksCode1
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming SolverCode1
Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language ModelCode1
SharpSAT-TD in Model Counting Competitions 2021-2023Code1
Trading with the Momentum Transformer: An Intelligent and Interpretable ArchitectureCode1
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization PerspectivesCode1
abess: A Fast Best Subset Selection Library in Python and RCode1
Bayesian Variable Selection in a Million DimensionsCode1
Fast Bayesian Variable Selection in Binomial and Negative Binomial RegressionCode1
OmicSelector: automatic feature selection and deep learning modeling for omic experimentsCode1
copent: Estimating Copula Entropy and Transfer Entropy in RCode1
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization AlgorithmsCode1
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian OptimizationCode1
Post-selection inference with HSIC-LassoCode1
Active learning for binary classification with variable selection—0
A convex formulation for high-dimensional sparse sliced inverse regression—0
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 Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition—0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
A general multiblock method for structured variable selection—0
A Fast Non-parametric Approach for Local Causal Structure Learning—0
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation—0
A Discrete CVAE for Response Generation on Short-Text Conversation—0
A Differentiable Rank-Based Objective For Better Feature Learning—0
A network-constrain Weibull AFT model for biomarkers discovery—0
A Cluster Elastic Net for Multivariate Regression—0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
An information criterion for auxiliary variable selection in incomplete data analysis—0
An Integrated Panel Data Approach to Modelling Economic Growth—0
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables—0
A novel nonconvex, smooth-at-origin penalty for statistical learning—0
An update on statistical boosting in biomedicine—0
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection—0
A projection pursuit framework for testing general high-dimensional hypothesis—0
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