Projekter pr. år
Abstract
Ensemble pruning is an important issue in the field of ensemble learning. Diversity is a key criterion to determine how the pruning process has been done and measure what result has been derived. However, there is few formal definitions of diversity yet. Hence, three important factors that should be further considered while designing a pruning criterion is presented, and then an effective definition of diversity is proposed. The experimental results have validated that the given pruning criterion could single out the subset of classifiers that show better performance in the process of hill-climbing search, compared with other definitions of diversity and other criteria.
Originalsprog | Engelsk |
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Titel | 7th International Conference on Knowledge Management in Organizations : Service and Cloud Computing |
Antal sider | 12 |
Vol/bind | 172 |
Forlag | Springer Publishing Company |
Publikationsdato | 2013 |
Sider | 47-58 |
ISBN (Trykt) | 978-3-642-30866-6 |
ISBN (Elektronisk) | 978-3-642-30867-3 |
DOI | |
Status | Udgivet - 2013 |
Begivenhed | 7th International Conference on Knowledge Management in Organizations - Salamanca, Spanien Varighed: 11 jul. 2012 → 13 jul. 2012 Konferencens nummer: 7th |
Konference
Konference | 7th International Conference on Knowledge Management in Organizations |
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Nummer | 7th |
Land/Område | Spanien |
By | Salamanca |
Periode | 11/07/2012 → 13/07/2012 |
Navn | Advances in Intelligent Systems and Computing |
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Vol/bind | 172 |
ISSN | 1615-3871 |
Projekter
- 1 Afsluttet
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MEco: MEco - Medical Ecosystem - Personalized Event-Based Surveillance
Dolog, P., Xu, G., Lage, R. G., Bayyapu, K. R. & Pan, R.
01/01/2010 → 30/06/2012
Projekter: Projekt › Forskning