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Variable Selection in Industrial Datasets using Pareto Genetic Programming

, , , , and . Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 6, Springer, Ann Arbor, (12-14 May 2005)

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Novel Approach to Develop Structure-Property Relationships Using Genetic Programming, , and . Parallel Problem Solving from Nature - PPSN IX, volume 4193 of LNCS, page 322--331. Reykjavik, Iceland, Springer-Verlag, (9-13 September 2006)Variable Selection in Industrial Datasets using Pareto Genetic Programming, , , , and . Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 6, Springer, Ann Arbor, (12-14 May 2005)Evaluation of Performance Measures for SVR Hyperparameter Selection., , and . IJCNN, page 637-642. IEEE, (2007)Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications., , , , , and . IEEE Congress on Evolutionary Computation, page 3106-3113. IEEE, (2006)Confidence of SVM Predictions using a Strangeness Measure., and . IJCNN, page 1239-1246. IEEE, (2006)Novel Approach to Develop Rheological Structure-Property Relationships Using Genetic Programming., , and . PPSN, volume 4193 of Lecture Notes in Computer Science, page 322-331. Springer, (2006)Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming., , , and . PPSN, volume 3242 of Lecture Notes in Computer Science, page 522-531. Springer, (2004)Data Analysis and Confidence based on SVM Density Estimation., and . IJCNN, page 1818-1824. IEEE, (2006)Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming., , , , , , and . GECCO (2), volume 3103 of Lecture Notes in Computer Science, page 1078-1089. Springer, (2004)Competitive advantages of evolutionary computation for industrial applications., , , , , and . Congress on Evolutionary Computation, page 166-173. IEEE, (2005)