Cost-effective Numerous Kernel Learning Algorithms using Low-Rank Interpretation
نویسندگان
چکیده
منابع مشابه
Efficient Multiple Kernel Learning Algorithms Using Low-Rank Representation
Unlike Support Vector Machine (SVM), Multiple Kernel Learning (MKL) allows datasets to be free to choose the useful kernels based on their distribution characteristics rather than a precise one. It has been shown in the literature that MKL holds superior recognition accuracy compared with SVM, however, at the expense of time consuming computations. This creates analytical and computational diff...
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ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2020
ISSN: 2321-9653
DOI: 10.22214/ijraset.2020.6021