Two undersampling methods, MI-based stratified sampling and support point optimization, are applied to class-imbalanced classification and compared to random undersampling on two datasets.
Mim4dd: mutual information maximization for dataset distillation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Statistical Undersampling with Mutual Information and Support Points
Two undersampling methods, MI-based stratified sampling and support point optimization, are applied to class-imbalanced classification and compared to random undersampling on two datasets.