Model Selection for Non-Negative Tensor Factorization with Minimum Description Length

Non-negative tensor factorization (NTF) is a widely used multi-way analysis approach that factorizes a high-order non-negative data tensor into several non-negative factor matrices. In NTF, the non-negative rank has to be predetermined to specify the model and it greatly influences the factorized ma...

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Detalles Bibliográficos
Autores principales: Fu, Yunhui, Matsushima, Shin, Yamanishi, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515125/
https://www.ncbi.nlm.nih.gov/pubmed/33267345
http://dx.doi.org/10.3390/e21070632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515125/
https://www.ncbi.nlm.nih.gov/pubmed/33267345
http://dx.doi.org/10.3390/e21070632

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