PFW: Polygonal Fuzzy Weighted—An SVM Kernel for the Classification of Overlapping Data Groups

Support vector machines are supervised learning models which are capable of classifying data and measuring regression by means of a learning algorithm. If data are linearly separable, a conventional linear kernel is used to classify them. Otherwise, the data are normally first transformed from input...

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Veröffentlicht in:Electronics (Basel) 2020-04, Vol.9 (4), p.615
Hauptverfasser: Shojae Chaeikar, Saman, Manaf, Azizah Abdul, Alarood, Ala Abdulsalam, Zamani, Mazdak
Format: Artikel
Sprache:eng
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