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MCS
2005
Springer
15 years 4 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
ICMLA
2008
15 years 15 days ago
2008
The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
ICONIP
2007
15 years 15 days ago
2007
In this study we propose a new ensemble model composed of several linear perceptrons. The objective of this study is to build a piecewise-linear classifier that is not only compet...
KDD
2007
ACM
15 years 11 months ago
2007
ACM
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
This paper presents a novel method for facial expression classification that employs the combination of two different feature sets in an ensemble approach. A pool of base classi...