Random multi-scale kernel-based Bayesian distribution regression learning.
Xue-Mei DongYin-He GuJian ShiKun XiangPublished in: Knowl. Based Syst. (2020)
Keyphrases
- multiscale
- learning tasks
- learning process
- active learning
- learning problems
- support vector
- prior knowledge
- learning algorithm
- unsupervised learning
- learning systems
- uniformly distributed
- support vector machine
- model selection
- bayesian methods
- supervised learning
- kernel machines
- kernel ridge regression
- regression model
- learning environment
- training data
- feature selection