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. Automatic registration for US military draft to begin in ...

This repository contains source code for GLASS implemented with PyTorch. GLASS is a unified framework designed to enhance unsupervised anomaly detection by addressing the limitations in coverage and ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Abstract: This paper presents an innovative algorithm that combines mini-batch gradient descent with adaptive techniques to enhance the accuracy and efficiency of localization in complex environments.

Abstract: Caching integrated with recommendation systems has emerged as a prominent trend in the caching research field, particularly concerning the volume of data within the network and diverse user ...

Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.

The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many fields. In this paper, we present a new algorithm of ...