Regression and Classification With Spline-Based Separable Expansions

We introduce a supervised learning framework for target functions that are well approximated by a sum of (few) separable terms. The framework proposes to approximate each component function by a B-spline, resulting in an approximant where the underlying coefficient tensor of the tensor product expan...

Descripción completa

Detalles Bibliográficos
Autores principales: Govindarajan, Nithin, Vervliet, Nico, De Lathauwer, Lieven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874272/
https://www.ncbi.nlm.nih.gov/pubmed/35224482
http://dx.doi.org/10.3389/fdata.2022.688496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874272/
https://www.ncbi.nlm.nih.gov/pubmed/35224482
http://dx.doi.org/10.3389/fdata.2022.688496

Ejemplares similares