A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation - researchr publication related

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Petrônio L. Braga, Adriano L. I. Oliveira, Silvio R. L. Meira. A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation. In Roger L. Wainwright, Hisham Haddad, editors, Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008. pages 1788-1792, ACM, 2008. [doi]

The following publications are possibly variants of this publication:

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimationAdriano L. I. Oliveira, Petrônio L. Braga, Ricardo Massa Ferreira Lima, Márcio Cornélio. INFSOF, 52(11):1155-1166, 2010. [doi]

Estimation of software project effort with support vector regressionAdriano L. I. Oliveira. ijon, 69(13-15):1749-1753, 2006. [doi]

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