Error analysis for [Formula: see text] -coefficient regularized moving least-square regression

We consider the moving least-square (MLS) method by the coefficient-based regression framework with [Formula: see text] -regularizer [Formula: see text] and the sample dependent hypothesis spaces. The data dependent characteristic of the new algorithm provides flexibility and adaptivity for MLS. We...

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Detalles Bibliográficos
Autores principales: Guo, Qin, Ye, Peixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182408/
https://www.ncbi.nlm.nih.gov/pubmed/30363815
http://dx.doi.org/10.1186/s13660-018-1856-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6182408/
https://www.ncbi.nlm.nih.gov/pubmed/30363815
http://dx.doi.org/10.1186/s13660-018-1856-y

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