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ICMLA
2008
13 years 9 months ago
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
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...
Tuve Löfström, Ulf Johansson, Henrik Bos...
ICASSP
2011
IEEE
12 years 11 months ago
Facial expression recognition using ensemble of classifiers
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...
Thiago H. H. Zavaschi, Alessandro L. Koerich, Luiz...
PRL
2008
213views more  PRL 2008»
13 years 7 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 20 days ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
ICIC
2009
Springer
14 years 2 months ago
Ensemble Classifiers Based on Kernel PCA for Cancer Data Classification
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
Jin Zhou, Yuqi Pan, Yuehui Chen, Yang Liu