An integrated pruning criterion for ensemble learning based on classification accuracy and diversity
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Fu, Bin, Wang, Zhihai, Pan, Rong, Xu, Guandong and Dolog, Peter (2013) An integrated pruning criterion for ensemble learning based on classification accuracy and diversity. In: 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Uden, Lorna, Herrera, Francisco, Perez, Javier Bajo and Rodriguez, Juana Manual Corchado, eds. Advances in Intelligent Systems and Computing (172). Springer Verlag, Berlin, pp. 47-58.
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Item type | Book Section |
URI | https://vuir.vu.edu.au/id/eprint/23985 |
DOI | 10.1007/978-3-642-30867-3_5 |
Official URL | http://link.springer.com/chapter/10.1007%2F978-3-6... |
ISBN | 9783642308666 (print) 9783642308673 (online) |
Subjects | Historical > FOR Classification > 0805 Distributed Computing Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems |
Keywords | ResPubID25880, ensemble learning, classification, ensemble pruning, diversity of classifiers |
Citations in Scopus | 9 - View on Scopus |
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