The matrix completion problem is restoring a given matrix with missing entries when handling incomplete data. In many existing researches, rank minimization plays a central role in matrix completion.

This technique is based on a linear relaxation of rate constraints and a piecewise linear approximation of the frame-level distortion-rate functions. Using linear programming, optimal solutions to the ...

Oliver Linton, Second Order Approximation in the Partially Linear Regression Model, Econometrica, Vol. 63, No. 5 (Sep., 1995), pp. 1079-1112 ...

A linear relationship (or linear association) is a statistical term used to describe the directly proportional relationship between a variable and a constant.

By institutionalising muhūrta s within mathematics, the UGC is effectively telling students that astrological determinism is ...

The efficiency is determined by pumping losses. The closer the outer surface of the inner scroll comes to the inside surface of the outer scroll, the less leakage there will be. This phenomenon is ...

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

MIT study highlights risk of deploying large AI models for climate science — supporting the assertion that, when it comes to AI, bigger isn’t always ...

Missense variants in the O-GlcNAc transferase ( OGT) gene have recently been shown to segregate with a syndromic form of intellectual disability (OGT-ID), underscoring the importance of protein ...