Kernel Parameter Selection for Support Vector Machine Classification

Parameter selection for kernel functions is important to the robust classification performance of a support vector machine (SVM). This paper introduces a parameter selection method for kernel functions in SVM. The proposed method tries to estimate the class separability by cosine similarity in the k...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Zhiliang Liu, Hongbing Xu
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: SAGE Publishing 2014-06-01
Sraith:Journal of Algorithms & Computational Technology
Rochtain ar líne:https://doi.org/10.1260/1748-3018.8.2.163