Abstract: The aim of this tutorial is to provide an overview, although necessarily incomplete, of game theory (GT) for signal processing (SP) in networks. One of the main features of this contribution ...
Backpropagation is a supervised learning algorithm used to optimize Artificial Neural Networks (ANNs). This project demonstrates the working of Backpropagation and its application in training neural ...
Abstract: The intent-based networking (IBN) paradigm targets defining high-level abstractions so network operators can define what their desired outcomes are without specifying how they would be ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback