VAERHNN: Voting-averaged ensemble regression and hybrid neural network to investigate potent leads against colorectal cancer.
Guanxing ChenXuefei JiangQiujie LvXiaojun TanZihuan YangCalvin Yu-Chian ChenPublished in: Knowl. Based Syst. (2022)
Keyphrases
- hybrid neural network
- colorectal cancer
- regression problems
- neural network
- ensemble learning
- regression model
- majority voting
- voting schemes
- model selection
- weighted voting
- random forest
- random forests
- gaussian processes
- ensemble methods
- linear regression
- training data
- regression function
- learning algorithm
- reproducing kernel hilbert space
- locally weighted
- support vector