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Variable Selection

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TitleStatusHype
Variable Selection for Comparing High-dimensional Time-Series Data—0
Variable selection for Gaussian process regression through a sparse projection—0
Variable Selection for Kernel Two-Sample Tests—0
Variable selection for Naïve Bayes classification—0
Variable selection for nonlinear Cox regression model via deep learning—0
Variable Selection for Nonparametric Learning with Power Series Kernels—0
Variable Selection in Convex Piecewise Linear Regression—0
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison—0
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age—0
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach—0
Variable Selection via Thompson Sampling—0
Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data—0
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon—0
Variable Selection with the Knockoffs: Composite Null Hypotheses—0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Variational empirical Bayes variable selection in high-dimensional logistic regression—0
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering—0
VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning—0
What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models—0
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection—0
A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables—0
Yordle: An Efficient Imitation Learning for Branch and Bound—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
Accurate Estimation of Quantitative Trait Locus Effects with Epistatic by Improved Variational Linear Regression—0
A Cluster Elastic Net for Multivariate Regression—0
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs—0
A convex formulation for high-dimensional sparse sliced inverse regression—0
Active learning for binary classification with variable selection—0
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis—0
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models—0
A Differentiable Rank-Based Objective For Better Feature Learning—0
A Discrete CVAE for Response Generation on Short-Text Conversation—0
A Fast Non-parametric Approach for Local Causal Structure Learning—0
A general multiblock method for structured variable selection—0
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making—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 Multi-objective Exploratory Procedure for Regression Model Selection—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection—0
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines—0
An Efficient Augmented Lagrangian Based Method for Constrained Lasso—0
An Efficient Shapley Value Computation for the Naive Bayes Classifier—0
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