Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Implementations of matrix multiplication via diffusion and reactions, thus eliminating the need for electronics, have been proposed as a stepping stone to realize molecular nano-neural networks (M3N).

All 675 Java 158 PHP 112 JavaScript 90 Python 60 Go 51 TypeScript 51 C# 27 Swift 14 HTML 11 Kotlin 11. ... Client software to secure apps with OAuth 2.0, OpenID Connect, and UMA. oauth2 registration ...

A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices. matrix blas linear-algebra-library sparse-matrix hacktoberfest. ... Python package to ...

With the rapid expansion of consumer healthcare, accurately predicting circRNA-disease associations has become essential for advancing disease diagnosis and enabling personalized therapy. However, ...

New York Magazine’s Approval Matrix is our deliberately oversimplified guide to who falls where on our taste hierarchies: highbrow, lowbrow, brilliant, and despicable. This week: Trump’s Big ...