Ulf Brefeld,
Jesse Davis,
Jan Van Haaren,
Albrecht Zimmermann
e.a.
Springer International Publishing
e druk, 2020
9783030649111
Machine Learning and Data Mining for Sports Analytics
7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Specificaties
Paperback, blz.
|
Engels
Springer International Publishing |
e druk, 2020
ISBN13: 9783030649111
Rubricering
Juridisch
:
Onderdeel van serie
Communications in Computer and Information Science
Levertijd ongeveer 9 werkdagen
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Samenvatting
This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online.
The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Specificaties
ISBN13:9783030649111
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Inhoudsopgave
Routine Inspection: A playbook for corner kicks.- How data availability aects the ability to learngood xG models.- Low-cost optical tracking of soccer players.- An Autoencoder Based Approach to SimulateSports Games.- Physical performance optimization in football.- Predicting Player Trajectoriesin Shot Situations in Soccer.- Stats Aren't Everything: Learning Strengths andWeaknesses of Cricket Players.- Prediction of tiers in the rankingof ice hockey players.- A Machine Learning Approach for Road CyclingRace Performance Prediction.- Mining Marathon Training Data to GenerateUseful User Proles.- Learning from partially labeled sequences forbehavioral signal annotation.<div><br><div><br><div><br></div></div></div>
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