IEEE

Kernel Least Mean Square Based on the Sparse Nyström Method

Abstract: Kernel least mean square based on the Nyström method (NysKLMS) has been proposed to fix the network structure of kernel least mean square (KLMS) by approximating a large Gram matrix with a ...
IEEE

Kernel Learning Method on Riemannian Manifold with Geodesic Distance Preservation

Abstract: Riemannian manifold recently has widely exploited in pattern recognition, data analysis, and machine learning. In this paper, a novel kernel learning method, based on preserving geodesic ...
Ars Technica

DeepMind breaks 50-year math record using AI; new record falls a week later

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...
Investopedia

Parametric Method in Value at Risk (VaR): Definition and Examples

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...