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Support vector regression for predicting software enhancement effort
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Outgoing claims: the papers this work cites, builds on, or argues with.
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GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation
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Software effort models should be assessed via leave-one-out validation
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How effective is Tabu search to configure support vector regression for effort estimation?
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Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks
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