Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification
نویسندگان
چکیده
منابع مشابه
An efficient multiple-kernel learning for pattern classification
Support vector machines (SVMs) have been broadly applied to classification problems. However, a successful application of SVMs depends heavily on the determination of the right type and suitable hyper-parameter settings of kernel functions. Recently, multiple-kernel learning (MKL) algorithms have been developed to deal with these issues by combining different kernels together. The weight with e...
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ژورنال
عنوان ژورنال: Cybernetics and Information Technologies
سال: 2012
ISSN: 1314-4081,1311-9702
DOI: 10.2478/cait-2012-0032