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svm-Concept-and-matlab-build

于 2013-11-19 发布 文件大小:434KB
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  Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

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