%0 Journal Article %1 svmguide %A Hsu, Chih-Wei %A Chang, Chih-Chung %A Lin, Chih-Jen %C Taipei 106, Taiwan %D 2003 %I Department of Computer Science %K bachelor:2011:bachmann classification guide svm %T A Practical Guide to Support Vector Classification %U http://www.csie.ntu.edu.tw/~cjlin %X The support vector machine (SVM) is a popular classification technique. 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.

@article{svmguide, abstract = {The support vector machine (SVM) is a popular classification technique. 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 = {2012-01-14T18:04:09.000+0100}, address = {Taipei 106, Taiwan}, author = {Hsu, Chih-Wei and Chang, Chih-Chung and Lin, Chih-Jen}, biburl = {https://www.bibsonomy.org/bibtex/20ec3b765cbd9e91af95f0d4a7a328d27/telekoma}, description = {LIBSVM -- A Library for Support Vector Machines}, institution = {National Taiwan University}, interhash = {272d3522c22f3cf354b02c5ce6c4612a}, intrahash = {0ec3b765cbd9e91af95f0d4a7a328d27}, keywords = {bachelor:2011:bachmann classification guide svm}, publisher = {Department of Computer Science}, timestamp = {2012-01-14T18:04:09.000+0100}, title = {A Practical Guide to Support Vector Classification}, url = {http://www.csie.ntu.edu.tw/~cjlin}, year = 2003 }