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(PDF) Neural networks mine for gold at the greyhound racetrack

    https://www.researchgate.net/publication/4030214_Neural_networks_mine_for_gold_at_the_greyhound_racetrack
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Greyhound Racing Using Neural Networks: A Case Study

    https://link.springer.com/chapter/10.1007/978-1-4419-6730-5_10
    Greyhound Racing Using Neural Networks: A Case Study. Authors; Authors and affiliations; Robert P. Schumaker; Osama K. Solieman ... Reprinted, with permission, from (Chen, H., P. Rinde, et al. 1994. Expert Prediction, Symbolic Learning, and Neural Networks: An Experiment in Greyhound Racing. IEEE Expert 9(6): 21–27). This is a preview of ...

Greyhound Racing Using Neural Networks: A Case Study

    https://www.researchgate.net/publication/251123871_Greyhound_Racing_Using_Neural_Networks_A_Case_Study
    Request PDF | Greyhound Racing Using Neural Networks: A Case Study | Uncertainty is inevitable in problem solving and decision making. One way to …

Neural networks mine for gold at the greyhound racetrack

    https://www.researchgate.net/publication/4030214_Neural_networks_mine_for_gold_at_the_greyhound_racetrack
    The proposed method uses only publicly available data to train neural networks for predicting the outcome of greyhound racing. Several different betting …

research - Can neural networks be better than human …

    https://ai.stackexchange.com/questions/1625/can-neural-networks-be-better-than-human-experts-at-prediction-of-greyhound-raci
    In greyhound racing (or horse racing), there is no definite underlying pattern that can be associated with the outcome of the race. There are far too many variables to record and code as features. Most of which cannot be accessed by the public. This includes eating, sleeping, and training patterns.

Neural networks mine for gold at the greyhound racetrack …

    https://ieeexplore.ieee.org/document/1223680/
    Abstract: This paper contains a case study where neural networks are used for data mining in the gambling domain. The proposed method uses only publicly available data to train neural networks for predicting the outcome of greyhound racing. Several different betting formats are evaluated, including Win, Quinella and Exacta.

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