Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem.
Liran ShenMeng Joo ErWeijiang LiuYunsheng FanQingbo YinPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- hyperparameters
- sample size
- small sample
- high dimension
- model selection
- random sampling
- feature selection
- support vector
- support vector machine
- upper bound
- ls svm
- generalization error
- high dimensional
- worst case
- training data
- real valued
- learning algorithm
- input space
- feature space
- variable selection
- high dimensional data
- text classification
- feature vectors
- decision trees
- machine learning