Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing

Fuente: arXiv

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Bibliographic Details
Main Authors:	Konoshima, Makiko, Tamura, Hirotaka, Kabashima, Yoshiyuki
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Applied Physics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2312.17272