Pages that link to "Item:Q1659246"

The following pages link to High dimensional classifiers in the imbalanced case (Q1659246):

Displaying 13 items.

• Classification of imbalanced data with a geometric digraph family (Q158226) (← links)
• Matrix sketching for supervised classification with imbalanced classes (Q832649) (← links)
• Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification (Q1615260) (← links)
• Characterizing the scale dimension of a high-dimensional classification problem (Q1856632) (← links)
• A training algorithm for classification of high-dimensional data (Q1860305) (← links)
• Handling imbalance in hierarchical classification problems using local classifiers approaches (Q2036779) (← links)
• New hard-thresholding rules based on data splitting in high-dimensional imbalanced classification (Q2136627) (← links)
• Difficulty factors and preprocessing in imbalanced data sets: an experimental study on artificial data (Q2360664) (← links)
• Grouped Variable Selection Using Area under the ROC with Imbalanced Data (Q3178533) (← links)
• Scale adjustments for classifiers in high-dimensional, low sample size settings (Q3633167) (← links)
• Robust support vector machine for high-dimensional imbalanced data (Q5082626) (← links)
• Multivariate binary classification of imbalanced datasets—A case study based on high‐dimensional multiplex autoimmune assay data (Q5364037) (← links)
• High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)