Maximum Decentral Projection Margin Classifier for High Dimension and Low Sample Size problems.
Zhiwang ZhangJing HeJie CaoShuqing LiPublished in: Neural Networks (2023)
Keyphrases
- sample size
- small sample
- high dimension
- small sample size
- high dimensionality
- support vector machine
- generalization error
- feature selection
- feature space
- high dimensional
- random sampling
- pac learning
- decision trees
- upper bound
- support vector
- vc dimension
- variance reduction
- hyperparameters
- training set
- statistical hypothesis testing