Linear Maximum Margin Classifier for Learning from Uncertain Data
نویسندگان
چکیده
منابع مشابه
Linear Maximum Margin Classifier for Learning from Uncertain Data
In this paper, we propose a maximum margin classifier that deals with uncertainty in data input. More specifically, we reformulate the SVM framework such that each training example can be modeled by a multi-dimensional Gaussian distribution described by its mean vector and its covariance matrix – the latter modeling the uncertainty. We address the classification problem and define a cost functi...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2018
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2017.2772235