A carregar...
Publicação
Combining models in supervised classification: New developments
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 210.4 KB | Adobe PDF |
Orientador(es)
Resumo(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.
Descrição
Resumo da comunicação oral apresentada em XVIII Jornadas de Classificação e Análise de Dados (JOCLAD2011), Vila Real, de 7 a 9 de Abril de 2011
Palavras-chave
Combining models Dependence Trees Model Discrete Discriminant Analysis First-order Independence Model Full Multinomial Model