Online Bayesian Learning Part 4: Non-stationary data and R-VGA
Adapting R-VGA to work in non-stationary environments.
Adapting R-VGA to work in non-stationary environments.
Deriving and implementing the R-VGA algorithm for online learning with neural networks on streaming binary classification data