Talent identification in soccer using a one-class support vector machine
By:
Authors
S. Jauhiainen
Faculty of Information Technology, University of Jyväskylä, Finland
S. Äyrämö
Faculty of Information Technology, University of Jyväskylä, Finland
H. Forsman
Eerikkila Sports & Outdoor Resort, Training and Research Centre forFinnish Football Urheiluopistontie, Tammela
J-P. Kauppi
Faculty of Information Technology, University of Jyväskylä, Finland
DOI: https://doi.org/10.2478/ijcss-2019-0021 | Journal eISSN: 1684-4769
Language: English
Page range: 125 - 136
Published on: Dec 16, 2019
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
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© 2019 S. Jauhiainen, S. Äyrämö, H. Forsman, J-P. Kauppi, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.