Patch Learning for Incremental Classifier Design

Authors:
Rudy Sicard;Thierry Artières;Eric Petit
Affiliations:
France Télécom --R&D/ TECH/IDEA/TIPS --France;LIP6 --Université Pierre et Marie Curie, France;France Télécom --R&D/ TECH/IDEA/TIPS --France
Venue:
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Year:
2006

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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.