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Evaluation of statistical and machine learning models for time series prediction identifying the state-of-the-art and the best conditions for the use of each model
Evaluation of statistical and machine learning models for time series prediction identifying the state-of-the-art and the best conditions for the use of each model
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Evaluation of statistical and machine learning models for time series prediction identifying the state-of-the-art and the best conditions for the use of each model

Antonio Rafael Sabino Parmezan Vinícius M. A Souza; Gustavo Enrique de Almeida Prado Alves Batista

Information Sciences New York : Elsevier v. 484, p. 302-337, May 2019

New York 2019

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2930914 )(GetIt)

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