Abstract: Improving the generalization performance of deep neural networks (DNNs) trained by minibatch stochastic gradient descent (SGD) has raised lots of concerns from deep learning practitioners.

Abstract: Composite power system reliability evaluation using Monte Carlo simulation often suffers from high computational cost due to the difficulty in capturing rare loss-of-load states. To address ...

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.