The following pages link to rda (Q18227):
Displaying 50 items.
- Two-group classification with high-dimensional correlated data: a factor model approach (Q2275650) (← links)
- Classification tree algorithm for grouped variables (Q2282589) (← links)
- Ensemble quantile classifier (Q2291292) (← links)
- Surface segmentation for polycube construction based on generalized centroidal Voronoi tessellation (Q2308972) (← links)
- Multiclass analysis and prediction with network structured covariates (Q2325271) (← links)
- Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions (Q2353006) (← links)
- Bayesian variable selection in multinomial probit model for classifying high-dimensional data (Q2354735) (← links)
- Sparse regularized discriminant analysis with application to microarrays (Q2359339) (← links)
- A study on three linear discriminant analysis based methods in small sample size problem (Q2384958) (← links)
- Structured variable selection in support vector machines (Q2426827) (← links)
- Penalized model-based clustering (Q2426832) (← links)
- Bayesian classification for bivariate normal gene expression (Q2445655) (← links)
- Variable selection via combined penalization for high-dimensional data analysis (Q2445677) (← links)
- Sparse estimation of large covariance matrices via a nested Lasso penalty (Q2482977) (← links)
- Stability of feature selection in classification issues for high-dimensional correlated data (Q2628882) (← links)
- A weight function method for selection of proteins to predict an outcome using protein expression data (Q2656115) (← links)
- Network-based discriminant analysis for multiclassification (Q2680180) (← links)
- Comparing the linear and quadratic discriminant analysis of diabetes disease classification based on data multicollinearity (Q2693273) (← links)
- Ultrahigh dimensional feature selection: beyond the linear model (Q2880959) (← links)
- Covariance-regularized regression and classification for high dimensional problems (Q2920259) (← links)
- A New and Fast Orthogonal Linear Discriminant Analysis on Undersampled Problems (Q2998034) (← links)
- On BIC’s selection consistency for discriminant analysis (Q2999747) (← links)
- Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
- Chemometrics with R (Q3084237) (← links)
- (Q3093229) (← links)
- Penalized Classification using Fisher’s Linear Discriminant (Q3107201) (← links)
- Characterization of All Solutions for Undersampled Uncorrelated Linear Discriminant Analysis Problems (Q3112396) (← links)
- Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis (Q3303621) (← links)
- Diagonal Discriminant Analysis With Feature Selection for High-Dimensional Data (Q3391457) (← links)
- (Q3549498) (← links)
- Two‐way Gaussian mixture models for high dimensional classification (Q4969723) (← links)
- Sparse linear discriminant analysis in structured covariates space (Q4970230) (← links)
- SURE estimates for high dimensional classification (Q4970345) (← links)
- On maximum depth classifiers: depth distribution approach (Q5035756) (← links)
- Distance-based outlier detection for high dimension, low sample size data (Q5036480) (← links)
- Sequential Learning of Regression Models by Penalized Estimation (Q5057097) (← links)
- Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination (Q5066430) (← links)
- Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression (Q5066470) (← links)
- (Q5101730) (← links)
- An adaptive multiclass nearest neighbor classifier (Q5110210) (← links)
- Classification of biomedical signals for differential diagnosis of Raynaud's phenomenon (Q5128684) (← links)
- Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
- High-Dimensional Data Classification (Q5270620) (← links)
- Sparse Covariance Matrix Estimation by DCA-Based Algorithms (Q5380866) (← links)
- Performance of Gene Selection and Classification Methods in a Microarray Setting: A Simulation Study (Q5451152) (← links)
- (Q5491004) (← links)
- Efficient quadratic regularization for expression arrays (Q5701267) (← links)
- Semilinear High-Dimensional Model for Normalization of Microarray Data (Q5754857) (← links)
- Shrinkage‐based Diagonal Discriminant Analysis and Its Applications in High‐Dimensional Data (Q5850946) (← links)
- On rank distribution classifiers for high-dimensional data (Q5861454) (← links)
