Litcius/Paper detail

An extended Newton-type algorithm for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2442" altimg="si3.svg"> <mml:msub> <mml:mrow> <mml:mi>ℓ</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> -regularized sparse logistic regression and its efficiency for classifying large-scale datasets

Rui Wang, Naihua Xiu, Shenglong Zhou

2021Journal of Computational and Applied Mathematics15 citationsDOIOpen Access PDF

Topics & Concepts

AlgorithmMathematicsScalable Vector GraphicsComputer scienceWorld Wide WebSparse and Compressive Sensing TechniquesStatistical Methods and InferenceControl Systems and Identification
An extended Newton-type algorithm for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2442" altimg="si3.svg"> <mml:msub> <mml:mrow> <mml:mi>ℓ</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> -regularized sparse logistic regression and its efficiency for classifying large-scale datasets | Litcius