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Variable Selection

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Showing 451–500 of 566 papers

TitleStatusHype
Deep Learning: A Bayesian Perspective—0
Bayesian l_0-regularized Least Squares—0
A projection pursuit framework for testing general high-dimensional hypothesis—0
Pruning variable selection ensembles—0
Cross-Validation with ConfidenceCode0
Outcome-adaptive lasso: variable selection for causal inferenceCode0
Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods—0
An update on statistical boosting in biomedicine—0
Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm)—0
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation—0
Probing for sparse and fast variable selection with model-based boosting—0
metboost: Exploratory regression analysis with hierarchically clustered dataCode0
Variable selection for clustering with Gaussian mixture models: state of the art—0
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree—0
MEBoost: Variable Selection in the Presence of Measurement Error—0
A general multiblock method for structured variable selection—0
Robust and Parallel Bayesian Model Selection—0
Instrumenting an SMT Solver to Solve Hybrid Network Reachability Problems—0
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI—0
Boosting Joint Models for Longitudinal and Time-to-Event DataCode0
The Bayesian SLOPE—0
A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations—0
Sparse additive Gaussian process with soft interactions—0
Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables—0
Bayesian Variable Selection for Globally Sparse Probabilistic PCA—0
Asymptotic properties for combined L_1 and concave regularization—0
High dimensional thresholded regression and shrinkage effect—0
Unbiased split variable selection for random survival forests using maximally selected rank statistics—0
Asymptotic equivalence of regularization methods in thresholded parameter space—0
Fuzzy clustering of distribution-valued data using adaptive L2 Wasserstein distances—0
Developing an ICU scoring system with interaction terms using a genetic algorithm—0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
Improving SAT Solvers via Blocked Clause DecompositionCode0
On the exact recovery of sparse signals via conic relaxations—0
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models—0
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification—0
DECOrrelated feature space partitioning for distributed sparse regression—0
DOLDA - a regularized supervised topic model for high-dimensional multi-class regressionCode0
Information-theoretic limits of Bayesian network structure learning—0
Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach—0
Identifying relevant positions in proteins by Critical Variable Selection—0
Joint Estimation of Precision Matrices in Heterogeneous Populations—0
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance—0
Closed-form Estimators for High-dimensional Generalized Linear Models—0
Optimal ETF Selection for Passive Investing—0
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with the Ordered l1-Norm—0
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection—0
Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre—0
The evolution of carrying capacity in constrained and expanding tumour cell populations—0
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization—0
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