A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...
The Annals of Applied Probability, Vol. 31, No. 5 (October 2021), pp. 2244-2274 (31 pages) We provide an exhaustive treatment of linear-quadratic control problems for a class of stochastic Volterra ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
Abstract: Recent years have seen a surging interest in developing under-approximations of reachable sets due to their potential applications in control synthesis and verification. In this letter, we ...
The following documentation page https://github.com/statsmodels/statsmodels/wiki/Examples#linear-mixed-models mentions two notebooks as examples for using Linear ...