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| HAL : hal-00723989, version 1 |
| DOI : 10.1007/978-3-642-29461-7_9 |
| Fiche détaillée |  Récupérer au format |
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| Belief Functions: Theory and Applications, France (2012) |
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| Classification trees based on belief functions |
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| Nicolas Sutton Charani 1Sebastien Destercke 1 |
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| (11/05/2012) |
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| Decision trees classifiers are popular classification methods. In this paper, we extend to multi-class problems a decision tree method based on belief functions previously described for 2-class problems only. We propose two ways to achieve this extension: combining multiple 2-class trees together and directly extending the estimation of belief functions within the tree to the multi-class setting. We provide experiment results and compare them to classical decision trees. |
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| 1 : | Heuristique et Diagnostic des Systèmes Complexes (HEUDIASYC) |
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CNRS : UMR7253 – Université de Technologie de Compiègne |
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| Decision et Image |
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| Domaine | : | Informatique/Apprentissage Informatique/Intelligence artificielle Statistiques/Machine Learning Mathématiques/Statistiques Statistiques/Théorie |
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| Belief functions – Classification – Decision trees |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00723989, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00723989 | |
| oai:hal.archives-ouvertes.fr:hal-00723989 | |
| Contributeur : Sébastien Destercke | |
| Soumis le : Jeudi 16 Août 2012, 10:44:47 | |
| Dernière modification le : Jeudi 16 Août 2012, 11:01:27 | |
