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overfitting. This paper aims at devising an algorithm that can carry the task of variable selection in the presence of a large … the number of zero claims. The resulting algorithm is assessed by measuring the out-of-sample AUC (Area Under the Curve …), a Machine Learning tool for quantifying predictive power. Finally, the application of the algorithm is demonstrated by …
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The challenge of truckload routing is increased in complexity by the introduction of stochastic demand. Typically, this demand is generalized to follow a Poisson distribution. In this chapter, we cluster the demand data using data mining techniques to establish the more acceptable distribution...
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