ECM - Ecole Centrale de Marseille : UMR7279 (Pôle de l'étoile, Technopole de Château-Gombert, 38 rue Frédéric Joliot-Curie, 13013 Marseille, France - France)
Abstract : Large-scale multi-class classification problems have gained increased popularity in recent time mainly because of the overwhelming growth of textual and visual data in the web. However, this is a challenging task for many reasons. The main challenges in Large-scale classification problems are: scalability, complexity of model and class imbalance problem. In this work, we present an algorithm for binary reduction of multi-class classification problems, which aims at addressing the above-mentioned challenges.
https://hal.archives-ouvertes.fr/hal-01294379
Contributeur : Bikash Joshi
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Soumis le : mardi 29 mars 2016 - 11:10:19
Dernière modification le : mardi 5 mars 2019 - 01:44:09
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, et al.. Multi-class to Binary reduction of Large-scale classification Problems. International Workshop on Big Multi-Target Prediction ECML/PKDD 2015, Sep 2015, Poto, Portugal. 〈http://www.kermit.ugent.be/big-multi-target-prediction/papers.php〉. 〈hal-01294379〉
