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LPBoost with Strong Classifiers
The goal of boosting algorithm is to maximize the minimum margin on sample set. Based on minimax theory, the goal can be converted into minimize the maximum edge. This idea motivates LPBoost and its variants (including TotalBoost, SoftBoost, ERLPBoost) which solve the optimization problem by linear...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2010-12-01
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| Colecção: | International Journal of Computational Intelligence Systems |
| Assuntos: | |
| Acesso em linha: | https://www.atlantis-press.com/article/2118.pdf |
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