An Empirical Study on the Effectiveness of Feature Selection and Ensemble Learning Techniques for Music Genre Classification

Author:

Shariat Raad1ORCID,Zhang John1ORCID

Affiliation:

1. Department of Mathematics and Computer Science, University of Lethbridge, Canada

Publisher

ACM

Reference42 articles.

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2. Automatic Music Transcription: An Overview

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4. Jean-Pierre Briot Gaëtan Hadjeres and François-David Pachet. 2019. Deep Learning Techniques for Music Generation – A Survey. arxiv:1709.01620 [cs.SD] Jean-Pierre Briot Gaëtan Hadjeres and François-David Pachet. 2019. Deep Learning Techniques for Music Generation – A Survey. arxiv:1709.01620 [cs.SD]

5. Tianqi Chen , Tong He , Michael Benesty , Vadim Khotilovich , Yuan Tang , Hyunsu Cho , Kailong Chen , 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 ( 2015 ), 1–4. Tianqi Chen, Tong He, Michael Benesty, Vadim Khotilovich, Yuan Tang, Hyunsu Cho, Kailong Chen, 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 (2015), 1–4.

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