Machine Learning and Data Mining for Sports Analytics
...
anglais | 10-12-2020 | 152 pages
9783030649111
Livre de poche
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Couverture / Jaquette
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.
Table des matières
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.
Détails
Code EAN : | 9783030649111 |
Editeur : | Springer International Publishing-Springer International Publishing-Springer International Publishing |
Date de publication : | 10-12-2020 |
Format : | Livre de poche |
Langue(s) : | anglais |
Hauteur : | 235 mm |
Largeur : | 155 mm |
Epaisseur : | 9 mm |
Poids : | 242 gr |
Stock : | Impression à la demande (POD) |
Nombre de pages : | 152 |
Mots clés : | Artificial Intelligence; Computer Hardware; Computer Systems; Computer vision; Correlation Analysis; Data handling; Machine Learning; Sensors; data integration; databases; human-computer interaction (HCI); integrated data; user interfaces |