Combine vector quantization and support vector machine for imbalanced datasets

In cases of extremely imbalanced dataset with high dimensions, standard machine learning techniques tend to be overwhelmed by the large classes. This paper rebalances skewed datasets by compressing the majority class. This approach combines Vector Quantization and Support Vector Machine and construc...

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Detalles Bibliográficos
Autores principales: Yu, Ting, Debenham, John, Jan, Tony, Simoff, Simeon
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Base de Datos
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23866
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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