On sparse regression, Lp‐regularization, and automated model discovery

JA McCulloch, SR St. Pierre, K Linka… - International Journal for …, 2024 - Wiley Online Library
Sparse regression and feature extraction are the cornerstones of knowledge discovery from
massive data. Their goal is to discover interpretable and predictive models that provide …
被引用次数：10 相关文章

On sparse regression, Lp-regularization, and automated model discovery

JA McCulloch, SR St Pierre, K Linka, E Kuhl - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Sparse regression and feature extraction are the cornerstones of knowledge discovery from
massive data. Their goal is to discover interpretable and predictive models that provide …

On sparse regression, L p‐regularization, and automated model discovery

JA McCulloch, SR St_Pierre, K Linka… - International Journal for …, 2024 - par.nsf.gov
Sparse regression and feature extraction are the cornerstones of knowledge discovery from
massive data. Their goal is to discover interpretable and predictive models that provide …

On sparse regression, Lp-regularization, and automated model discovery

JA McCulloch, SRS Pierre, K Linka, E Kuhl - arXiv preprint arXiv …, 2023 - arxiv.org
Sparse regression and feature extraction are the cornerstones of knowledge discovery from
massive data. Their goal is to discover interpretable and predictive models that provide …
[PDF] researchgate.net

[PDF][PDF] On sparse regression, Lp-regularization and automated model discovery

JA McCulloch, SRS Pierre, K Linka… - arXiv preprint arXiv …, 2023 - researchgate.net
Sparse regression and feature extraction are the cornerstones of knowledge discovery from
massive data. Their goal is to discover interpretable and predictive models that provide …