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Feature Selection to Win the Point of ATP Tennis Players Using Rally Information Cover

Feature Selection to Win the Point of ATP Tennis Players Using Rally Information

International Journal of Computer Science in Sport
Volume 19 (2020): Issue 1 (July 2020)
By: M. Makino,  T. Odaka,  J. Kuroiwa,  I. Suwa and  H. Shirai  
Open Access
|Jun 2020

Authors

M. Makino

Graduate School of Engineering, University of Fukui

T. Odaka

Graduate School of Engineering, University of Fukui

J. Kuroiwa

Graduate School of Engineering, University of Fukui

I. Suwa

Graduate School of Engineering, University of Fukui

H. Shirai

Faculty of Engineering, University of Fukui
DOI: https://doi.org/10.2478/ijcss-2020-0003 | Journal eISSN: 1684-4769
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Language: English
Page range: 37 - 50
Published on: Jun 29, 2020
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
TENNIS,
MACHINE LEARNING,
LOGISTIC REGRESSION,
REGULARIZATION,
FEATURE SELECTION
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2020 M. Makino, T. Odaka, J. Kuroiwa, I. Suwa, H. Shirai, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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