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Showing 1 to 3 of 3 for “"Multivariate Adaptive Regression Spline"”.
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Sensitivity of MEPDG Using Advanced Statistical Analyses
… in scatterplots, linear and nonlinear regression analyses, and nonparametric procedures such as multivariate adaptive regression spline, gradient boosting machine are employed to identify and rank the significant input variables. Results show that predicted pavement performances are …
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Simulating Land Use Land Cover Change Using Data Mining and Machine Learning Algorithms
… show that ANN-based LTM results are similar to Multivariate Adaptive Regression Spline (MARS)-based models and both ANN and MARS-based models outperform Classification and Regression Tree (CART)-based models for modeling single LULC transition; however, for modeling MC, an ANN-based LTM-MC is …
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Probabilistic renewable energy modelling in South Africa
… issue involves the construction of quantile regression models for forecasting extreme peak electricity demand and determining the optimal number of units to commit at minimal costs for each period using the forecasts obtained from the developed models. The bounded variable mixed-integer …