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A globally convergent algorithm for lasso-penalized mixture of linear regression models

Research article (Computational Statistics & Data Analysis, 2017) · cited 30× · AI/ML
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A globally convergent algorithm for lasso-penalized mixture of linear regression models

Summary

A globally convergent algorithm for lasso-penalized mixture of linear regression models is a scholarly article[1].

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  • A globally convergent algorithm for lasso-penalized mixture of linear regression models's instance of is recorded as scholarly article[2].

Related Entities

Geoffrey McLachlan

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A globally convergent algorithm for lasso-penalized mixture of linear regression models. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-globally-convergent-algorithm-for-lasso-penalized-mixture-of-linear-regression-models
MLA “A globally convergent algorithm for lasso-penalized mixture of linear regression models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-globally-convergent-algorithm-for-lasso-penalized-mixture-of-linear-regression-models.
BibTeX @misc{4ortxyz_a-globally-convergent-algorithm-for-lasso-penalized-mixture-of-linear-regression-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A globally convergent algorithm for lasso-penalized mixture of linear regression models}}, year = {2026}, url = {https://4ort.xyz/entity/a-globally-convergent-algorithm-for-lasso-penalized-mixture-of-linear-regression-models}, note = {Accessed: 2026-05-24}}
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