Abstract: Distributed weakly convex optimization is a significant class of problems in signal and information processing, with wide-ranging applications such as sparse dictionary learning, low-rank ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: Accident scenarios with long-tail characteristics are essential for advancing autonomous vehicles (AVs) functionality. Integrating such scenarios into the training process enhances ...