Pages that link to "Item:Q78121"
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The following pages link to Regularized linear discriminant analysis and its application in microarrays (Q78121):
Displaying 37 items.
- Open-Set Nearest Shrunken Centroid Classification (Q2884866) (← links)
- Covariance-regularized regression and classification for high dimensional problems (Q2920259) (← links)
- Finite-sample analysis of impacts of unlabeled data and their labeling mechanisms in linear discriminant analysis (Q2965565) (← links)
- Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
- Influence Analysis on Discriminant Coordinates (Q3087564) (← links)
- Penalized Classification using Fisher’s Linear Discriminant (Q3107201) (← links)
- Covariance structure approximation via gLasso in high-dimensional supervised classification (Q3168288) (← links)
- A DC Programming Approach for Sparse Linear Discriminant Analysis (Q3192955) (← links)
- Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis (Q3303621) (← links)
- A comparison of regularization methods applied to the linear discriminant function with high-dimensional microarray data (Q4922655) (← links)
- Neyman-Pearson classification: parametrics and sample size requirement (Q4969044) (← links)
- Two‐way Gaussian mixture models for high dimensional classification (Q4969723) (← links)
- On maximum depth classifiers: depth distribution approach (Q5035756) (← links)
- Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination (Q5066430) (← links)
- Multicategory large margin classification with unequal costs (Q5082932) (← links)
- An improved modified cholesky decomposition approach for precision matrix estimation (Q5107717) (← links)
- A Comparison of Robust Model Choice Criteria Within a Metalearning Study (Q5141232) (← links)
- The Dantzig Discriminant Analysis with High Dimensional Data (Q5177600) (← links)
- Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
- Modified linear discriminant analysis using block covariance matrix in high-dimensional data (Q5267876) (← 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)
- Shrinkage‐based Diagonal Discriminant Analysis and Its Applications in High‐Dimensional Data (Q5850946) (← links)
- On rank distribution classifiers for high-dimensional data (Q5861454) (← links)
- High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
- Generalized two-dimensional linear discriminant analysis with regularization (Q6079054) (← links)
- Kronecker-decomposable robust probabilistic tensor discriminant analysis (Q6081072) (← links)
- Classification by likelihood accordance functions (Q6082979) (← links)
- Random forest kernel for high-dimension low sample size classification (Q6089217) (← links)
- Regularized linear discriminant analysis via a new difference-of-convex algorithm with extrapolation (Q6142181) (← links)
- Sparse overlapped linear discriminant analysis (Q6169921) (← links)
- Convolution-based linear discriminant analysis for functional data classification (Q6180217) (← links)
- Constraint principal components for linear discrimination (Q6495587) (← links)
- A high-dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues (Q6541769) (← links)
- A review of discriminant analysis in high dimensions (Q6562693) (← links)
- Regularized linear discriminant analysis based on generalized capped \(l_{2, q}\)-norm (Q6601543) (← links)
- A comparison of methods for estimating the determinant of high-dimensional covariance matrix (Q6636158) (← links)
