A hybrid ensemble learning framework for basketball outcomes prediction-Reference-Cited by-同舟云学术

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A hybrid ensemble learning framework for basketball outcomes prediction

Published:2019-08 Issue: Volume:528 Page:121461
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Cai Weihong,Yu Ding,Wu Ziyu,Du Xin,Zhou Teng

Funder

Natural Science Foundation of Guangdong Province, China

STU Scientific Research Foundation for Talents

Science and Technology Planning Project of Guangdong Province, China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference24 articles.

1. Psychosocial factors and sport injuries: meta-analyses for prediction and prevention;Ivarsson;Sports Med.,2017

2. Sports leagues’ game exposure policies: Economic and legal complexities;Fortunato;J. Glob. Sport Manag.,2018

3. Spatio-temporal analysis of team sports;Gudmundsson;ACM Comput. Surv.,2017

4. Alcohol advertising in sport and non-sport TV in Australia, during children’s viewing times;O’Brien;PLoS One,2015

5. Exploring limits to prediction in complex social systems;Martin,2016

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