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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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Chinês |
| Udgivet: |
Editorial Department of Journal on Communications
2024-03-01
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| Serier: | Tongxin xuebao |
| Fag: | |
| Online adgang: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2024064 |
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