Tree Generation Methods Comparison in GAP Problems with Low Quality Data

Abstract

Data gathered from real world processes include several undesired effects, like the noise in the process, the bias of the sensors and the presence of hysteresis, among other undesirable uncertainty sources. Learning models using the so called Low Quality Data (LQD) is a difficult task which has been barely studied. In a previous study, a method for learning… (More)
DOI: 10.1007/978-3-642-19644-7_10

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