IEEE

Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding

Abstract: This paper addresses the problem of two-way sparse reduced-rank regression (TSRRR), which aims to estimate a coefficient matrix that is both low-rank and two-way sparse (sparse in both rows ...
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Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
Variety

Cable Fights Back: Charter Launches Spectrum App Store, Touts Value and ‘Seamless’ Navigation of Content Across Devices

The No. 2 cable operator courts consumers with broadband, easy access to streaming apps and better navigation options. Charter CEO Chris Winfrey sees a path to 'put it back together' after a decade of ...
Wall Street Journal

Tyler Robinson’s Descent From Promising Student to Murder Suspect

Authorities have taken 22-year-old Tyler Robinson into custody in connection with the fatal shooting of conservative political activist Charlie Kirk. Photo: FBI/AFP via Getty Images WASHINGTON, ...
Scientific Research Publishing

A Multiple Linear Regression Model for Inflation Rate in the UK ()

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...