Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.
We study the leave-one-out and generalization errors of voting combinations of learning machines. A special case considered is a variant of bagging. We analyze in detail combinations of kernel machines, such as support vector machines, and present theoretical estimates of their leave-one-out error....
| Publicado no: | Machine learning. 55, 1 (2004). |
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| Formato: | Artigo |
| Idioma: | English |
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