Patch Learning for Incremental Classifier Design

Rudy Sicard 1 Thierry Artières 1
1 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies in the possibility to learn every patch function parameters optimally from the Bayesian point of view hence avoiding overtraining.
Type de document :
Communication dans un congrès
European Conference on Artificial Intelligence (ECAI 2006), Aug 2006, Riva del Garda, Italy. IOS Press, European Conference on Artificial Intelligence (ECAI 2006), pp.807-808
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01337594
Contributeur : Lip6 Publications <>
Soumis le : lundi 27 juin 2016 - 11:53:09
Dernière modification le : vendredi 31 août 2018 - 09:25:56

Identifiants

  • HAL Id : hal-01337594, version 1

Collections

Citation

Rudy Sicard, Thierry Artières. Patch Learning for Incremental Classifier Design. European Conference on Artificial Intelligence (ECAI 2006), Aug 2006, Riva del Garda, Italy. IOS Press, European Conference on Artificial Intelligence (ECAI 2006), pp.807-808. 〈hal-01337594〉

Partager

Métriques

Consultations de la notice

80