MCS
13 years 11 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
13 years 11 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
13 years 11 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...
MCS
13 years 11 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
13 years 11 months ago
2004 Springer |
Pattern Recognition