Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...

Three brothers have been arrested for the bombing of the U.S. Embassy in Norway, an alleged attack in which no one was injured. The brothers were taken into custody ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Trump's latest approval rating revealed by polling expert ...

This repository explores the concept of Orthogonal Gradient Descent (OGD) as a method to mitigate catastrophic forgetting in deep neural networks during continual learning scenarios. Catastrophic ...

Abstract: Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several ...

What makes an interpreted language fast? This is a question I've been asking myself for years. LispE is not my first programming language - far from it. I have proposed in the past Tamgu - a rather ...