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Orientador(es)
Resumo(s)
Predictions made by using machine learning classification models are recurrent in many research fields for a variety of reasons. In some cases, feature selection can effi- ciently improve the accuracy of classifications, while reducing the computational requirements. However, some predictive studies are characterized by a high dimensionality or based on small datasets.
Descrição
Palavras-chave
Feature selection Small databases Classification radiotherapy Xerostomia
Contexto Educativo
Citação
Soares I., Dias J., Rocha H., do Carmo Lopes M., Ferreira B. (2016) Feature Selection in Small Databases: A Medical-Case Study. In: Kyriacou E., Christofides S., Pattichis C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_158
Editora
Springer