Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets.
Kristian SchultzSaptarshi BejWaldemar HahnMarkus WolfienPrashant SrivastavaOlaf WolkenhauerPublished in: CoRR (2022)
Keyphrases
- discriminative learning
- unsupervised learning
- supervised learning
- learning algorithm
- learning process
- classification accuracy
- incremental learning
- decision trees
- text classification
- benchmark datasets
- imbalanced data sets
- machine learning
- class imbalance
- support vector
- learning phase
- training set
- feature space
- image classification
- machine learning algorithms
- reinforcement learning
- classification models
- active learning
- binary classification problems
- deep learning
- uci machine learning repository
- imbalanced datasets