Gérard Villermain Lecolier

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We use learning methods to build classi5ers in using a set of training samples. A classi5er is capable to assign a new sample into one of the di6erent learnt classes. In a non-stationary work environment, a classi5er must be retrained every time a new sample is classi5ed, to obtain new knowledge from it. This is an impractical solution since it requires the(More)
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