Pages that link to "Item:Q1000303"

The following pages link to High-dimensional classification using features annealed independence rules (Q1000303):

Displaying 50 items.

• Self-semi-supervised clustering for large scale data with massive null group (Q2131891) (← links)
• A general framework for tensor screening through smoothing (Q2136613) (← links)
• On sufficient variable screening using log odds ratio filter (Q2136614) (← links)
• New hard-thresholding rules based on data splitting in high-dimensional imbalanced classification (Q2136627) (← links)
• The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data (Q2154953) (← links)
• Model-free feature screening for ultrahigh dimensional classification (Q2181726) (← links)
• Analyzing high dimensional correlated data using feature ranking and classifiers (Q2183360) (← links)
• Variational discriminant analysis with variable selection (Q2195837) (← links)
• A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification (Q2196123) (← links)
• Robust composite weighted quantile screening for ultrahigh dimensional discriminant analysis (Q2202032) (← links)
• High dimensional classification for spatially dependent data with application to neuroimaging (Q2209817) (← links)
• Feature filter for estimating central mean subspace and its sparse solution (Q2242163) (← links)
• High-dimensional mean estimation via \(\ell_1\) penalized normal likelihood (Q2252887) (← links)
• Sparse semiparametric discriminant analysis (Q2256757) (← links)
• Network exploration via the adaptive LASSO and SCAD penalties (Q2270657) (← links)
• Two-group classification with high-dimensional correlated data: a factor model approach (Q2275650) (← links)
• Ensemble quantile classifier (Q2291292) (← links)
• Feature screening for ultrahigh-dimensional additive logistic models (Q2301064) (← links)
• Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data (Q2313277) (← links)
• Bayesian discriminant analysis using a high dimensional predictor (Q2316972) (← links)
• Independence test for high dimensional data based on regularized canonical correlation coefficients (Q2343952) (← links)
• CLT for linear spectral statistics of normalized sample covariance matrices with the dimension much larger than the sample size (Q2348737) (← links)
• Innovated interaction screening for high-dimensional nonlinear classification (Q2352740) (← links)
• The cumulative Kolmogorov filter for model-free screening in ultrahigh dimensional data (Q2405946) (← links)
• Model free feature screening with dependent variable in ultrahigh dimensional binary classification (Q2407775) (← links)
• A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis (Q2416778) (← links)
• Graph-based sparse linear discriminant analysis for high-dimensional classification (Q2418517) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• Optimal classification in sparse Gaussian graphic model (Q2438761) (← links)
• Random matrix theory in statistics: a review (Q2453609) (← links)
• On the fusion of threshold classifiers for categorization and dimensionality reduction (Q2513348) (← links)
• The fused Kolmogorov filter: a nonparametric model-free screening method (Q2515487) (← links)
• QUADRO: a supervised dimension reduction method via Rayleigh quotient optimization (Q2515488) (← links)
• Generalized alternating direction method of multipliers: new theoretical insights and applications (Q2516351) (← links)
• Stability of feature selection in classification issues for high-dimensional correlated data (Q2628882) (← links)
• Feature informativeness, curse-of-dimensionality and error probability in discriminant analysis (Q2735975) (← links)
• Model Selection for Classification with a Large Number of Classes (Q2787380) (← links)
• Tests for a Multiple-Sample Problem in High Dimensions (Q2815361) (← links)
• Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification (Q2832014) (← links)
• Asymptotic Equivalence of Regularization Methods in Thresholded Parameter Space (Q2861817) (← links)
• Application of non parametric empirical Bayes estimation to high dimensional classification (Q2880945) (← links)
• Tilting methods for assessing the influence of components in a classifier (Q2920282) (← links)
• Penalized Independence Rule for Testing High-Dimensional Hypotheses (Q3017854) (← links)
• Fast rate of convergence in high-dimensional linear discriminant analysis (Q3021183) (← links)
• Impossibility of successful classification when useful features are rare and weak (Q3069213) (← links)
• Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
• Two-Stage Procedures for High-Dimensional Data (Q3106536) (← links)
• Penalized Classification using Fisher’s Linear Discriminant (Q3107201) (← links)
• RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs (Q3304859) (← links)
• Grouped feature screening for ultra-high dimensional data for the classification model (Q3390600) (← links)