Dual-random ensemble method for multi-label classification of biological data
Contribuinte(s) |
[Unknown] |
---|---|
Data(s) |
01/01/2009
|
Resumo |
This paper presents a dual-random ensemble multi-label classification method for classification of multi-label data. The method is formed by integrating and extending the concepts of feature subspace method and random k-label set ensemble multi-label classification method. Experiemental results show that the developed method outperforms the exisiting multi-lable classification methods on three different multi-lable datasets including the biological yeast and genbase datasets.<br /><br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
ISBB |
Relação |
http://dro.deakin.edu.au/eserv/DU:30029219/kouzani-ISBB-2009.pdf http://dro.deakin.edu.au/eserv/DU:30029219/kouzani-dualrandom-2009.pdf http://isbb2009.wmah.org/ |
Direitos |
2009, ISBB |
Tipo |
Conference Paper |