Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

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.
IEEE

A Distributed Event-Triggered Neurodynamic Approach for Lyapunov Matrix Equation

Abstract: In this article, a neurodynamic approach based on event-triggered mechanism for solving Lyapunov matrix equation is established. First, employing matrix decomposition technique, the Lyapunov ...
CNBC

Upstart chipmakers keep challenging Nvidia. This time it's Microsoft-backed D-Matrix

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
IEEE

A Data-Driven Approach to Spacecraft Attitude Control Using Support Vector Regression (SVR)

Abstract: This study introduces a novel approach to spacecraft attitude control by employing Support Vector Regression (SVR) as the underlying data-driven controller. Given the inherent nonlinearity ...