High Dimensional Classification via Empirical Risk Minimization: Improvements and Optimality.
Xiaoyi MaiZhenyu LiaoPublished in: CoRR (2019)
Keyphrases
- empirical risk minimization
- high dimensional
- machine learning
- support vector
- feature space
- decision trees
- support vector machine svm
- feature extraction
- training samples
- feature vectors
- upper bound
- supervised learning
- dimensionality reduction
- training set
- similarity search
- sample size
- supervised classification
- decision boundary
- statistical learning theory
- high dimensional feature space