A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance
Abstract Background Prediction models have gained immense importance in various fields for decision-making purposes. In the context of tennis, relying solely on the probability of winning a single match may not be sufficient for predicting a player's future performance or ranking. The performan...
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Format: | Book |
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BMC,
2024-01-01T00:00:00Z.
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A1234.567 |
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