Artificial intelligence in sports prediction

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McCabe, Alan
Trevathan, Jarrod
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Latifi, S

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2008
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Las Vegas, USA

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Abstract

This paper presents an extension of earlier work in the use of artificial intelligence for prediction of sporting outcomes. An expanded model is described, as well as a broadening of the area of application of the original work. The model used is a form of multi-layer perceptron and it is presented with a number of features which attempt to capture the quality of various sporting teams. The system performs well and compares favourably with human tipsters in several environments. A study of less rigid "World Cup" formats appears, along with extensive live testing results in a major international tipping competition.

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Fifth International Conference on Information Technology: New Generations (itng 2008)

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© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Science & Technology

Computer Science, Information Systems

Computer Science, Interdisciplinary Applications

Computer Science, Theory & Methods

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McCabe, A; Trevathan, J, Artificial intelligence in sports prediction, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008, pp. 1194-1198