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ICDAR
2003
IEEE
13 years 11 months ago
A New Classifier Simulator for Evaluating Parallel Combination Methods
The use of artificial outputs generated by a classifier simulator has recently emerged as a new trend to provide an underlying evaluation of classifier combination methods. In thi...
Héla Zouari, Laurent Heutte, Yves Lecourtie...
ICML
2002
IEEE
14 years 6 months ago
Is Combining Classifiers Better than Selecting the Best One
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
Saso Dzeroski, Bernard Zenko
MCS
2007
Springer
14 years 2 days ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
ICPR
2006
IEEE
14 years 7 months ago
Combining Dichotomizers for MAP Field Classification
A new method for combining dichotomizers like SVMs is proposed for classifying multi-class pattern fields. The novelty lies in the estimation of the styleconstrained posterior fie...
George Nagy, Srinivas Andra
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 6 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...