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Variable selection for multicategory SVM via adaptive sup-norm regularization
Classification L1-norm penalty multicategory sup-norm SVM
2009/9/16
Support Vector Machine (SVM) is a popular classification paradigm in machine learning and has achieved great success in real applications. However, the standard SVM can not select variables automatica...
New multicategory boosting algorithms based on multicategory Fisher-consistent losses
Boosting Fisher-consistent losses multicategory classification
2010/3/17
Fisher-consistent loss functions play a fundamental role in the
construction of successful binary margin-based classifiers. In this paper
we establish the Fisher-consistency condition for multicateg...