Algorithme d'apprentissage pour inférer les paramètres de proaftn

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ConferenceAdministrative Sciences Association of Canada Conference 2004 (ASAC 2004), June 5-8, 2004., Québec City, Québec, Canada
AbstractPROAFTN is a multicriteria classification method that makes it possible to directly assign potential actions to different classes. In this work, we suggest a training algorithm that can be used to automatically adjust the parameters of the method. This algorithm utilizes local search and meta-heuristic tools to minimize the difference between the classification results obtained by the PROAFTN method and the a priori results in the training set.
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number47128
NPARC number9146107
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Record identifier4714c65a-9bfc-4a53-9055-7f14ec39cb0e
Record created2009-06-25
Record modified2016-05-09
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