Combining models in supervised classification: New developments

Ferreira, Ana Sousa; Marques, Anabela; Cardoso, Margarida

http://hdl.handle.net/10400.26/7400

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Authors

Ferreira, Ana Sousa

Marques, Anabela

Cardoso, Margarida

Abstract(s)

In Discrete Discriminant Analysis dimensionality problems often occur. In this context, we propose a combining models approach, taking profit from several potential models. In the bi-class case, a single combination coefficient is considered and estimated using several strategies. In the multi-class case, the decomposition into several bi-class problems embedded in a binary tree is implemented. New developments of this approach are presented and their performances assessed on real or simulated data.