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  • 标题:Music Signal Analysis: Regression Analysis
  • 本地全文:下载
  • 作者:V.N.Aditya Datta Chivukula ; Sri Keshava Reddy Adupala
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2021
  • 卷号:11
  • 期号:12
  • 语种:English
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Machine learning techniques have become a vital part of every ongoing research in technical areas. In recent times the world has witnessed many beautiful applications of machine learning in a practical sense which amaze us in every aspect. This paper is all about whether we should always rely on deep learning techniques or is it really possible to overcome the performance of simple deep learning algorithms by simple statistical machine learning algorithms by understanding the application and processing the data so that it can help in increasing the performance of the algorithm by a notable amount. The paper mentions the importance of data pre-processing than that of the selection of the algorithm. It discusses the functions involving trigonometric, logarithmic, and exponential terms and also talks about functions that are purely trigonometric. Finally, we discuss regression analysis on music signals.
  • 关键词:Machine Learning;Regression;Music Signal Analysis
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