Quasi-Newton method for sparse matrix factorization with frobenius norm regularization

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Quasi-Newton method for sparse matrix factorization with frobenius norm regularization

This paper considers quasi-Newton method for sparse matrix factorization (SMF) that incorporates Frobenius norm regularization to control overfitting and enhance generalization in data-driven applications. Sparse matrix factorization seeks to decompose a matrix into 2 matrices while promoting sparsi...

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Bibliographic Details
Main Authors:	June, Leong Wah, Ab Rahmin, Nor Aliza, Peng, Lim Fong, Firdaus Faris, Muhammad Yusril
Format:	Article
Language:	English
Published:	Persatuan Sains Matematik Malaysia 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/120306/ http://psasir.upm.edu.my/id/eprint/120306/1/120306.pdf

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