150
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MCS
2000
Springer
15 years 7 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
132
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MCS
2000
Springer
15 years 7 months ago
2000
Springer
Various methods exist for reducing correlation between classifiers in a multiple classifier framework. The expectation is that the composite classifier will exhibit improved perfor...
145
click to vote
MCS
2000
Springer
15 years 7 months ago
2000
Springer
This paper presents a multi-expert system for dynamic signature verification. The system combines three experts whose complementar behaviour is achieved by using both different fea...
119
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MCS
2000
Springer
15 years 7 months ago
2000
Springer
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
162
click to vote
MCS
2000
Springer
15 years 7 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...