Ricardo B.C. Prudencio, Teresa B. Ludermir, Francisco de A.T. de Carvalho  Home/Search
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Abstract: The selection of a good model for forecasting a time series is a task that involves experience and knowledge. Employing machine learning algorithms is a promising approach to acquiring knowledge in regards to this task. A supervised classification method originating from thesymb(#q data analysis field is proposed for the model selection probcti This method was applied in the task of selectingblecti two widespread models, and compared to other learning algorithms. To date, it hasobvqHzz the... (Update)
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BibTeX entry: (Update)
Prudencio, R., Ludermir, T.B., DeCarvalho, F.: A modal symbolic classifier for selecting time series models. Pattern Recogn. Letters, 25(8) (2004) 911--921. http://citeseer.ist.psu.edu/prudencio04modal.html More
@misc{ prudencio04modal,
author = "R. Prudencio and T. Ludermir and F. DeCarvalho",
title = "A modal symbolic classifier for selecting time series models",
text = "Prudencio, R., Ludermir, T.B., DeCarvalho, F.: A modal symbolic classifier
for selecting time series models. Pattern Recogn. Letters, 25(8) (2004)
911--921.",
year = "2004",
url = "citeseer.ist.psu.edu/prudencio04modal.html" }
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