254
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MCS
16 years 1 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...
235
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MCS
16 years 1 months ago
2004 Springer
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
224
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MCS
16 years 1 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...
214
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MCS
16 years 1 months ago
2004 Springer 
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
208
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MCS
16 years 1 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