Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques.

@article{Ofoghi2013ModellingAA,
  title={Modelling and analysing track cycling Omnium performances using statistical and machine learning techniques.},
  author={Bahadorreza Ofoghi and John Zeleznikow and Dan Dwyer and Clare MacMahon},
  journal={Journal of sports sciences},
  year={2013},
  volume={31 9},
  pages={954-62}
}
This article describes the utilisation of an unsupervised machine learning technique and statistical approaches (e.g., the Kolmogorov-Smirnov test) that assist cycling experts in the crucial decision-making processes for athlete selection, training, and strategic planning in the track cycling Omnium. The Omnium is a multi-event competition that will be included in the summer Olympic Games for the first time in 2012. Presently, selectors and cycling coaches make decisions based on experience and… CONTINUE READING
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