This topic combines prior knowledge on kernel ridge regression with neural networks. The following content will be considered:
- (deep) neural networks
- kernel ridge regression
- radial basis function networks
The objective would be to study the relationship of the predictive power of kernel ridge regression and radial basis function networks based on given data from quantum chemistry or other relevant science application.
A few first links: