Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities
Margin-based classifiers like the SVM and ANN have two drawbacks. They are only directly applicable for two-class problems and they only output scores which do not reflect the assessment uncertainty. K-class assessment probabilities are usually generated
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H.-H. Bock, Aachen W. Gaul, Karlsruhe M. Vichi, Rome
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