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

机译:使用元胞自动机在音乐创作中套索的辅助功能方法

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摘要

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.
机译:在本文中,我们提出了一种辅助函数方法来解决重叠组套索问题。我们的目标是解决具有重叠基团的更通用的结构,该结构适用于细胞自动机(CA)。将CA引入到基于开发和分类的算法组合中。同时给出了从CA到音乐系列的具体算法和映射。实验仿真表明了我们算法的有效性,使用辅助函数方法通过CA解决套索是一种潜在有用的音乐自动生成算法。

著录项

  • 来源
    《Journal of applied statistics》 |2014年第6期|989-997|共9页
  • 作者单位

    College of Music, Northwest Normal University, Lanzhou 730070, People's Republic of China;

    School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, People's Republic of China;

    School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, People's Republic of China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lasso; auxiliary function; algorithm; cellular automata;

    机译:套索;辅助功能算法;细胞自动机;

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