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A Factor Analysis Perspective on Linear Regression in the ‘More Predictors than Samples’ Case

Linear regression (LR) is a core model in supervised machine learning performing a regression task. One can fit this model using either an analytic/closed-form formula or an iterative algorithm. Fitting it via the analytic formula becomes a problem when the number of predictors is greater than the n...

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Detalles Bibliográficos
Autores principales:	Ciobanu, Sebastian, Ciortuz, Liviu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394575/ https://www.ncbi.nlm.nih.gov/pubmed/34441152 http://dx.doi.org/10.3390/e23081012

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