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27

ECAI
2006
Springer

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Patch Learning for Incremental Classifier Design

14 years 2 months ago

Patch Learning for Incremental Classifier Design

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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. 3

Rudy Sicard, Thierry Artières, Eric Petit

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Added	22 Aug 2010
Updated	22 Aug 2010
Type	Conference
Year	2006
Where	ECAI
Authors	Rudy Sicard, Thierry Artières, Eric Petit

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