Random Smoothing Regularization in Kernel Gradient Descent Learning.
Liang DingTianyang HuJiahang JiangDonghao LiWenjia WangYuan YaoPublished in: CoRR (2023)
Keyphrases
- learning algorithm
- kernel machines
- component analysis
- active learning
- learning process
- learning tasks
- supervised learning
- learning systems
- neural network
- prior knowledge
- support vector
- reinforcement learning
- probabilistic model
- text classification
- cost function
- loss function
- learning problems
- multiple kernel
- positive semi definite