Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks.
Hao LiuMinshuo ChenTuo ZhaoWenjing LiaoPublished in: CoRR (2021)
Keyphrases
- function approximation
- binary classification
- learning problems
- reinforcement learning
- learning tasks
- multi class
- cost sensitive
- multi label
- support vector
- radial basis function
- support vector machine
- generalization error
- prediction accuracy
- ensemble methods
- supervised learning
- machine learning
- loss function
- cross validation
- high dimensional
- decision trees
- feature selection