منابع مشابه
Multicategory Support Vector Machines
The Support Vector Machine (SVM) has shown great performance in practice as a classification methodology. Oftentimes multicategory problems have been treated as a series of binary problems in the SVM paradigm. Even though the SVM implements the optimal classification rule asymptotically in the binary case, solutions to a series of binary problems may not be optimal for the original multicategor...
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Support vector machines are one of the most popular machine learning methods for classification. Despite its great success, the SVM was originally designed for binary classification. Extensions to the multicategory case are important for general classification problems. In this article, we propose a new class of multicategory hinge loss functions, namely reinforced hinge loss functions. Both th...
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The Support Vector Machine (SVM) has become one of the most popular machine learning techniques in recent years. The success of the SVM is mostly due to its elegant margin concept and theory in binary classification. Generalization to the multicategory setting, however, is not trivial. There are a number of different multicategory extensions of the SVM in the literature. In this paper, we revie...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2004
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214504000000098