%0 Report %1 libsvmTutorial %A Hsu, Chih-Wei %A Chang, Chih-Chung %A Lin, Chih-Jen %D 2003 %K guide libsvm svm tutorial %T A Practical Guide to Support Vector Classification %U http://www.csie.ntu.edu.tw/~cjlin/papers.html %X Support vector machine (SVM) is a popular technique for classification. However, beginners who are not familiar with SVM often get unsatisfactory results since they miss some easy but significant steps. In this guide, we propose a simple procedure, which usually gives reasonable results.

@techreport{libsvmTutorial, abstract = {Support vector machine (SVM) is a popular technique for classification. However, beginners who are not familiar with SVM often get unsatisfactory results since they miss some easy but significant steps. In this guide, we propose a simple procedure, which usually gives reasonable results.}, added-at = {2008-05-28T19:14:22.000+0200}, author = {Hsu, Chih-Wei and Chang, Chih-Chung and Lin, Chih-Jen}, biburl = {https://www.bibsonomy.org/bibtex/2c04ef97dc3c3de168e684c3e4abe061b/jil}, institution = {Department of Computer Science, National Taiwan University}, interhash = {272d3522c22f3cf354b02c5ce6c4612a}, intrahash = {c04ef97dc3c3de168e684c3e4abe061b}, keywords = {guide libsvm svm tutorial}, timestamp = {2013-11-23T20:11:51.000+0100}, title = {A Practical Guide to Support Vector Classification}, url = {http://www.csie.ntu.edu.tw/~cjlin/papers.html}, year = 2003 }