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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| 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 |