Robust Truncated Hinge Loss Support Vector Machines
نویسندگان
چکیده
منابع مشابه
Robust Truncated Hinge Loss Support Vector Machines
The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its popularity, however, SVM has some drawbacks in certain situations. In particular, the SVM classifier can be very sensitive to outliers in the training sample. Moreover, the number of support vectors (SVs) can be very large in many applications. To circumvent ...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2007
ISSN: 0162-1459,1537-274X
DOI: 10.1198/016214507000000617