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Variable Selection

Papers

Showing 101–125 of 566 papers

TitleStatusHype
Sparse Deep Learning for Time Series Data: Theory and Applications—0
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regressionCode0
Effect of hyperparameters on variable selection in random forestsCode0
Identifying spatial interdependence in panel data with large N and small T—0
Neural lasso: a unifying approach of lasso and neural networks—0
SharpSAT-TD in Model Counting Competitions 2021-2023Code1
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic PerspectiveCode0
Small Area Estimation with Random Forests and the LASSO—0
Systematic reduction of Hyperspectral Images for high-throughput Plastic Characterization—0
Spectral information criterion for automatic elbow detection—0
Nonlinear Permuted Granger Causality—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
An Efficient Shapley Value Computation for the Naive Bayes Classifier—0
VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning—0
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)—0
Poverty rate prediction using multi-modal survey and earth observation data—0
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives—0
On Sufficient Graphical Models—0
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies—0
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical DataCode0
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks—0
Scalable variable selection for two-view learning tasks with projection operatorsCode0
Structured Learning in Time-dependent Cox ModelsCode0
Harnessing the Potential of Volatility: Advancing GDP Prediction—0
TreeDQN: Learning to minimize Branch-and-Bound treeCode0
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