Leonardo Auslender

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We introduce a support vector decision tree method for customer targeting in the framework of large databases (database marketing). The goal is to provide a tool to identify the best customers based on historical data. Then this tool is used to forecast the best potential customers among a pool of prospects. We begin by recursively constructing a decision(More)
A 56-year-old patient with histopathologically established myotonic dystrophy is described. Gross pathological examination of the eyes revealed cataracts and peripheral retinal dystrophy as described previously. Lacy vacuolization of the pigment epithelium of the iris and vacuolization of the nonpigmentary ciliary epithelium were also found. These latter(More)
Over the past decades, statisticians and machine-learning researchers have developed literally thousands of new tools for the reduction of high-dimensional data in order to identify the variables most responsible for a particular trait. These tools have applications in a plethora of settings, including data analysis in the fields of business, education,(More)
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