Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation

Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and sc...

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Detalles Bibliográficos

Principais autores:	Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU
Formato:	Artigo
Idioma:	Chinês
Publicado:	Editorial Department of Journal on Communications 2024-03-01
Series:	Tongxin xuebao
Assuntos:	quality of service;latent factorization analysis;non-negative latent factorization of tensor model;unconstrained non-negative;momentum method
Acceso en liña:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2024064
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