A Practical Guide to Support Vector Classification

  • Chih-Wei Hsu, Chih-Chung Chang A
ISSN: 1464-410X
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Abstract

The support vector machine (SVM) is a popular classi cation technique. However, beginners who are not familiar with SVM often get unsatisfactory results since they miss some easy but signi cant steps. In this guide, we propose a simple procedure which usually gives reasonable results. developed well-differentiated superficial transitional cell bladder cancer. CONCLUSIONS: Patients with SCI often prefer SPC than other methods offered to them, because of quality-of-life issues. The incidence of significant complications might not be as high as previously reported, and with a commitment to careful follow-up, SPC can be a safe option for carefully selected patients if adequate surveillance can be ensured.

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Chih-Wei Hsu, Chih-Chung Chang, and C.-J. L. (2008). A Practical Guide to Support Vector Classification. BJU International, 101(1), 1396–400. Retrieved from http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf

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