[hal-01076359] Author Verification Exploring a Large set of Parameters using a Genetic Algorithm - Notebook for PAN at CLEF 2014

In this paper we present the system we submitted to the PAN'14 competition for the author verification task We consider the task as a supervised classification problem where each case in a dataset is an instance Our system works by applying the same combination of parameters to every case in a dataset Thus the training stage consists in finding an optimal combination of parameters which maximizes the performance on the training data using cross-validation This is achieved using a simple genetic algorithm since the space of all possible combinations is impractical



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