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Volumn 19, Issue 7, 2006, Pages 544-553

Predicting football results using Bayesian nets and other machine learning techniques

Author keywords

Bayesian nets; Football; Machine learning

Indexed keywords

BAYESIAN NETS; DECISION TREE; SUBJECTIVE JUDGEMENT;

EID: 33749652616     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2006.04.011     Document Type: Article
Times cited : (111)

References (12)
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    • Fenton N.E., and Neil M. The jury observation fallacy and the use of Bayesian networks to present probabilistic legal arguments. Mathematics Today (Bulletin of the IMA) 36 6 (2000) 180-187
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  • 4
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    • A. Joseph, N.E. Fenton, M. Neil, Predicting football results using Bayesian nets and other machine learning techniques (version with full set of models and data), (2005), http://www.dcs.qmw.ac.uk/~norman/papers/Spurs-2.pdf.
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    • Heckerman D., Geiger D., and Chickering D. Learning Bayesian networks: the combination of knowledge and statistical data. Machine Learning 20 (1995) 197-243
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    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
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    • Induction of decision trees
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    • Quinlan, J.R.1
  • 9
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    • Håvard Rue, Øyvind Salvesen, Prediction and retrospective analysis of soccer matches in a league, preprint Statistics 10 (1997).
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    • Ronny Kohavi, Dan Sommerfield, MLC++ machine learning library in C++, SGI http://www.sgi.com/tech/mlc/ (1996).
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    • Andrew Bradley, Brian Lovell, Michael Ray, Geoffrey Hawson, On the methodology for comparing learning algorithms: a case study, Australian and New Zealand Conference on Intelligent Information Systems, 37-41 (1994).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.