An auxiliary function approach for Lasso in music composition using cellular automata

DOI10.1080/02664763.2013.859233zbMath1352.62168OpenAlexW2025632426MaRDI QIDQ3179214

No author found.

Publication date: 21 December 2016

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.859233

zbMATH Keywords

algorithmcellular automataLassoauxiliary function

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25) Cellular automata (computational aspects) (68Q80) Mathematics and music (00A65)

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• The composite absolute penalties family for grouped and hierarchical variable selection
• Sparsity and Smoothness Via the Fused Lasso
• Model Selection and Estimation in Regression with Grouped Variables

This page was built for publication: An auxiliary function approach for Lasso in music composition using cellular automata