135
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MCS
15 years 6 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...
121
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MCS
15 years 6 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...
111
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MCS
15 years 6 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...
109
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MCS
15 years 6 months ago
2004 Springer 
Abstract. One of the potential advantages of multiple classifier systems is an increased robustness to noise and other imperfections in data. Previous experiments on classificati...
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Pattern Recognition