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Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.

, , , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 632-643. Springer, (2015)

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Soft Computing Metamodels for the Failure Prediction of T-stub Bolted Connections., , , , and . SOCO-CISIS-ICEUTE, volume 299 of Advances in Intelligent Systems and Computing, page 41-51. Springer, (2014)Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning., , , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 632-643. Springer, (2015)Optimization of Solar Integration in Combined Cycle Gas Turbines (ISCC)., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 31-40. Springer, (2013)Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 171-180. Springer, (2013)An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms., , , , and . SOCO-CISIS-ICEUTE, volume 299 of Advances in Intelligent Systems and Computing, page 53-62. Springer, (2014)