Black-box stochastic optimization involves sampling in both the solution and data spaces. Traditional variance reduction methods mainly designed for reducing the data sampling noise may suffer from ...

A pair of mathematicians, Kevin Course and Prasanth Nair at the University of Toronto's Institute for Aerospace Studies, has developed a new state-estimation method to create efficient forecasts ...

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, a Bachelor’s degree in ...

An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...

Often, the hardest part of software engineering isn't the technical work of designing and writing code. It's predicting how long it will take to complete that work. Accurate work estimates are ...