Heuristic sample reduction method for support vector data description
نویسندگان
چکیده
منابع مشابه
Sampling Method for Fast Training of Support Vector Data Description
Support Vector Data Description (SVDD) is a machine learning technique used for single class classification and outlier detection. The SVDD model for normal data description builds a minimum radius hypersphere around the training data. A flexible description can be obtained by use of Kernel functions. The data description is defined by the support vectors obtained by solving quadratic optimizat...
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Support vector data description (SVDD) is a useful method for outlier detection and has been applied to a variety of applications. However, in the existing optimization procedure of SVDD, there are some issues which may lead to improper usage of SVDD. Some of the issues might already be known in practice, but the theoretical discussion, justification and correction are still lacking. Given the ...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2016
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1307-137