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| Return Home Resources Publications Conference papers Source Code Classifier source code Tutorials Pattern recognition tutorials Terminology Definitions of pattern recognition terms Pattern Recognition Applications A summary of pattern recognition applications Classification Applet Applet Online implementation of various classifiers Data Set Format Description of the data set format used for the classification applet Example Data Sets Downloadable data set examples Classification Applet Documentation Description of the algorithms used
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SVM Classification Applet
This applet illustrates the functionality of an SVM classifier. The shape of the decision boundaries can be manipulated by altering the SVM meta parameters. Generate negative and postive samples by clicking on the left hand side canvas. Then set the meta-level parameters. Click on the submit button to see how the SVM iteratively finds the decision boundaries and support vectors. (If you encounter any problems when loading this applet, download the newest Java version here) Y. Xia, "A new neural network for solving linear and quadratic programming problems", IEEE Transactions on Neural Networks, Vol. 7 No. 6 , pp. 1544 -1548, Nov. 1996 This applet is available from http://www.smartlab.dibe.unige.it
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