On the class distribution labelling step sensitivity of co-training

Co-training can learn from datasets having a small number of labelled examples and a large number of unlabelled ones. It is an iterative algorithm where examples labelled in previous iterations are used to improve the classification of examples from the unlabelled set. However, as the number of ini...

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Guardado en:
Detalles Bibliográficos
Autores principales: Matsubara, Edson T., Monard, Maria C., Prati, Ronaldo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
iterative algorithm
label
challenging domains
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23900
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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