Sparse data embedding and prediction by tropical matrix factorization

BACKGROUND: Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose a method called Sparse Tropical Matrix Factorization (STMF) for the estimation...

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Detalles Bibliográficos
Autores principales: Omanović, Amra, Kazan, Hilal, Oblak, Polona, Curk, Tomaž
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908717/
https://www.ncbi.nlm.nih.gov/pubmed/33632116
http://dx.doi.org/10.1186/s12859-021-04023-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908717/
https://www.ncbi.nlm.nih.gov/pubmed/33632116
http://dx.doi.org/10.1186/s12859-021-04023-9

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