搜索资源列表
SVM
- SVM(支持向量机)，二分类，多分类，多分类一对一，多分类一对多训练及测试matlab代码-SVM two classes muticlasses mutioneagainstone mutioneagainstall matlab code
svm-light
- svm分类的算法 速度比其他的快一点 需要再做比较 交流 希望能得到更多的资料-SVMmulticlass uses the multi-class formulation described in [1], but optimizes it with an algorithm that is very fast in the linear case
SVM
- 线性SVM分类，数据已给出，代码很详尽哈-Linear SVM classification, data has been given, the code is very detailed and Kazakhstan
svmfenleiqiyuanli
- svm分类器原理详细描述，值得一看，希望对你有帮助-svm classification theory described in detail, worth a visit, I hope to help you
基于opencv的svm分类识别
- 附件是初始入门学习opencv的SVM简单程序，可以用于了解opencv中关于svm部分的使用，以及训练模块，便于快速上手SVM。开发环境是opencv2.0+vs2008，需要先安装opencv2.0才能够运行看到结果。显示第一个结果后，按回车等待几秒，即可显示分类结果。
SVM-MATLAB
- svm插件，安装在MATBLA上面，用于学习SVM分类，对于SVM分类有很大帮助！(SVM plug-in, installed on the MATBLA, is used to learn SVM classification, which is helpful for SVM classification.)
PCA-SVM
- 用于主成分图像svm分类，简单，有很好的程序，适合初学者(SVM for principal component image classification, simple, there are very good procedures for beginners)
SVM
- 配置opencv库，SVM训练和分类，显示分类结果，和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
SVM.m 2
- 实现基础的SVM算法。利用Matlab自带包。(Implement the underlying SVM algorithm. Use Matlab to bring your own bag.)
SVM
- 运用SVM训练分类,并给出标准化以及网络搜索方法确定SVM各参数(use SVM to train and classify samples)
SVM测试程序
- 一个测试支持向量机SVM分类的简单小程序，好像从别人那整的(A test of support vector machine classification SVM simple small program)
SVM神经网络的数据分类预测-葡萄酒种类识别
- SVM神经网络的数据分类预测-葡萄酒种类识别(SVM neural network data classification prediction wine species identification)
Svm
- 实现简单的SVM 分类器，包括数据读取及简单的显示，简单易学易上手(Implementation of a simple SVM classifie)
9、SVM方法
- svm分类器，训练svm的MATLAB代码，简单易理解，好用，能够有效的实现动能(SVM classifier, training SVM MATLAB code, simple and easy to understand, good use, can effectively implement the kinetic energy)
PaviaEMPSVM
- 利用形态学滤波结合SVM分类算法对高光谱图像进行分类(Using morphological filtering and SVM classification algorithm to classify hyperspectral images)
SVM
- 使用SVM对数据进行分类，可参考对SVM原理的讲解对代码及其算法进行进一步理解。(Using the SVM to classify the data, we can refer to the explanation of the SVM principle to further understand the code and its algorithms)
svm
- 使用matlab自带的函数实现的svm分类算法。(The svm classification algorithm implemented using matlab's own function.)
svmtest1
- SVM分类实例，很好的解决了2分类的问题(SVM classification example)
SVM
- 采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)
SVM
- 关于SVM编程算法实现示例，实现二分类问题(a program demo about SVM)