An auxiliary function approach for Lasso in music composition using cellular automata
作者： Kun Li , YongSheng Qian , WenBo Zhao
DOI: 10.1080/02664763.2013.859233
关键词: Development (topology) 、 Algorithmic composition 、 Series (mathematics) 、 Cellular automaton 、 Auxiliary function 、 Structure (category theory) 、 Algorithm 、 Lasso (statistics) 、 Mathematics 、 Musical composition
摘要: In this paper, we present an auxiliary function approach to solve the overlap group Lasso problem. Our goal is a more general structure with overlapping groups, which suitable be used in cellular automata (CA). The CA were introduced algorithmic composition based on development and classification. At same time, concrete algorithm mapping from music series are given. Experimental simulations show effectiveness of our algorithms, using potentially useful automatic-generation algorithm.
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