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模式分类经典算法——支持向量机 java语言版-classic pattern classification algorithm -- Support Vector Machine language version of java
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支撑矢量机
class CvSVM : public CvStatModel //继承自基类CvStatModel
{
public:
// SVM type
enum { C_SVC=100, NU_SVC=101, ONE_CLASS=102, EPS_SVR=103, NU_SVR=104 } //SVC是SVM分类器，SVR是SVM回归
// SVM kernel type
-class Support Vector Machine CvSVM
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SVM支持向量机 里面包含一个教程，包括支持向量机的原理，也可以直接看接口函数直接调用-SVM support vector machine which contains a tutorial, including Support Vector Machine principle, can also look directly interface function directly ca
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一般的支持向量机算法比较单一，此算法实现了几种类型的支持向量机算法，可用于参考-general support vector machine algorithm single, this algorithm several types of support vector machine algorithm, can be used for reference
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最小二乘支撑向量机matlab版-least squares Support Vector Machine Matlab version
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Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
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lightSVM的源程序，支持向量机模型-lightSVM source, Support Vector Machine Model
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关于支撑向量机的代码实现方式-on Support Vector Machine code Realization
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LSVM Langrangian Support Vector Machine algorithm
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support vector machine 实现
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LSVM Langrangian Support Vector Machine algorithm
LSVM solves a support vector machine problem using an iterative
algorithm inspired by an augmented Lagrangian formulation.
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LSVMK Langrangian Support Vector Machine algorithm
LSVMK solves a support vector machine problem using an iterative
algorithm inspired by an augmented Lagrangian formulation.
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支持向量机，用于分类。Classify using (a very simple implementation of) the support vector machine algorithm
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support vector machine
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support vector machine, model transfer
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support vector machine based prediction
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train for support vector machine
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Support Vector Machine toolbox for Matlab
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libsvm支持向量机(Support Vector Machine,简称SVM)。
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support vector machine （支持向量机）方法是目前分类方法中比较好的一个分类方法，实验证明准确度非常高！
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