Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
You can then access the site at the URL provided from the last command. This is usually http://localhost:8788. Please feel free to contribute to this project! You can ...
Importance versus performance map analysis (IPMA) was first proposed by Martilla & James (1977), and its main purpose is to provide additional insights into the degree to which improving the ...
Abstract: The development of effective methods for diagnosing bearing faults has received significant research attention. As the engineering environment tends to be complex, mechanical equipment in ...
Introduction: Global mental health is a growing priority in health and development agendas. However, there is limited evidence on whether scientific research in mental health aligns with the health, ...
Social protection and labor systems promote better employment, prevent income loss, and protect people facing shocks and transitions. These programs are not just about helping people get by, they help ...
This repository contains the code and data accompanying the paper "Recession Detection Using Classifiers on the Anticipation-Precision Frontier", written by Pascal Michaillat, and posted on arXiv in ...
1 Carrera de Alimentos, Universidad Politécnica Estatal del Carchi, Tulcán, Ecuador 2 Carrera de Medicina Veterinaria, Universidad Politécnica Estatal del Carchi, Tulcán, Ecuador The main objective of ...
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