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

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  • Kun Li
  • YongSheng Qian
  • WenBo Zhao

Abstract

In this paper, we present an auxiliary function approach to solve the overlap group Lasso problem. Our goal is to solve a more general structure with overlapping groups, which is suitable to be used in cellular automata (CA). The CA were introduced to the algorithmic composition which is based on the development and classification. At the same time, concrete algorithm and mapping from CA to music series are given. Experimental simulations show the effectiveness of our algorithms, and using the auxiliary function approach to solve Lasso with CA is a potentially useful music automatic-generation algorithm.

Suggested Citation

  • Kun Li & YongSheng Qian & WenBo Zhao, 2014. "An auxiliary function approach for Lasso in music composition using cellular automata," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(5), pages 989-997, May.
    • Handle: RePEc:taf:japsta:v:41:y:2014:i:5:p:989-997
    DOI: 10.1080/02664763.2013.859233
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