MCS
14 years 3 months ago
2004 Springer 
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
MCS
14 years 3 months ago
2004 Springer MCS
14 years 3 months ago
2004 Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
MCS
14 years 3 months ago
2004 Springer 
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
MCS
14 years 3 months ago
2004 Springer 
Despite the good results provided by Dynamic Classifier Selection (DCS) mechanisms based on local accuracy in a large number of applications, the performances are still capable of ...
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Pattern Recognition