Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
GitHub

Robust Stochastic Optimization Made Easy

Website: RSOME for Python PyPI: RSOME 1.3.1 RSOME (Robust Stochastic Optimization Made Easy) is an open-source Python package for generic modeling of optimization problems (subject to uncertainty).
GitHub

Matfree: Matrix-free linear algebra in JAX

Randomised and deterministic matrix-free methods for trace estimation, functions of matrices, and matrix factorisations. Matfree builds on JAX. Thank you for using Matfree! A dedicated paper about ...
Frontiers

Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline

Brain-inspired Hyper-dimensional(HD) computing is a novel and efficient computing paradigm. However, highly parallel architectures such as Processing-in-Memory(PIM) are bottle-necked by reduction ...
Scientific Research Publishing

Prediction of Accident Severity Using Artificial Neural Network: A Comparison of Analytical Capabilities between Python and R ()

1 Department of Electronics, Computing and Mathematics, University of Derby, Derby, UK. 2 Department of Computer Science and Intelligent Systems, Iwate University, Morioka, Japan. 3 BAC International ...