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A Machine Learning Approach to Predicting Winning Patterns in Track Cycling Omnium.
Version 2 2024-06-04, 13:52Version 2 2024-06-04, 13:52
Version 1 2014-10-28, 10:20Version 1 2014-10-28, 10:20
conference contribution
posted on 2024-06-04, 13:52 authored by Bahadorreza OfoghiBahadorreza Ofoghi, John Zeleznikow, Claire MacMahon, Dan DwyerDan DwyerA Machine Learning Approach to Predicting Winning Patterns in Track Cycling Omnium.
History
Volume
331Pagination
67-76Location
Brisbane, Qld.Publisher DOI
Open access
- Yes
Start date
2010-09-20End date
2010-09-23ISSN
1868-4238ISBN-13
978-3-642-15285-6Language
EnglishPublication classification
E1.1 Full written paper - refereed, E Conference publicationCopyright notice
2010, SpringerTitle of proceedings
IFIP IA 2010 : Proceedings of the 3rd IFIP International Conference on Artificial Intelligence in Theory and Practice 2010Event
IFIP International Conference on Artificial Intelligence in Theory and Practice. (3rd : 2010 : Brisbane, Qld.)Publisher
SpringerPlace of publication
Berlin, GermanySeries
IFIP Advances in Information and Communication Technology book seriesUsage metrics
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