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Communication Dans Un Congrès Année : 2014

Author Verification: Exploring a Large set of Parameters using a Genetic Algorithm - Notebook for PAN at CLEF 2014

Résumé

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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Dates et versions

hal-01076359 , version 1 (21-10-2014)

Identifiants

  • HAL Id : hal-01076359 , version 1

Citer

Erwan Moreau, Arun Jayapal, Carl Vogel. Author Verification: Exploring a Large set of Parameters using a Genetic Algorithm - Notebook for PAN at CLEF 2014. Working Notes for CLEF 2014 Conference, Sep 2014, Sheffiled, United Kingdom. pp.12. ⟨hal-01076359⟩
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