文件名称:svm-Concept-and-matlab-build
- 所属分类：
- matlab例程
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- [PDF]
- 上传时间：
- 2013-11-19
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- 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-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
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-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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