Fast optimization of non-negative matrix tri-factorization

Non-negative matrix tri-factorization (NMTF) is a popular technique for learning low-dimensional feature representation of relational data. Currently, NMTF learns a representation of a dataset through an optimization procedure that typically uses multiplicative update rules. This procedure has had l...

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Detalles Bibliográficos
Autores principales: Čopar, Andrej, Zupan, Blaž, Zitnik, Marinka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559648/
https://www.ncbi.nlm.nih.gov/pubmed/31185054
http://dx.doi.org/10.1371/journal.pone.0217994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559648/
https://www.ncbi.nlm.nih.gov/pubmed/31185054
http://dx.doi.org/10.1371/journal.pone.0217994

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