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supportvectormachine
- svm 支持向量机代码 support vector machine-support vector machine svm
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- 支持向量机和遗传算法的课件，希望多交流-Support vector machine and genetic algorithm courseware, I hope more exchanges! ! ! !
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- 包含支持向量机基础的解释到完善的理论证明。希望有用-Including support vector machine-based interpretation of the perfect in theory. Hope helpful! ! ! !
abbr_b11a93e762f6958bb657c1ad7c58d2b5
- 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract
svm
- 基于MATLAB的支持向量机工具箱，好用-Support vector machine based on MATLAB toolbox, easy to use
libsvm-2.91.tar
- 支持向量机SVM软件包，很不错的，非常好的软件包-Support vector machine SVM package, very good, very good package
activities_of_the_shape_model
- 基于支持向量机分类器的活动形状模型。学术论文。-Support vector machine classifier based on the activities of the shape model. Papers.
SVM_lzb1p0
- 关于matlab支持向量机的程序，学习支持向量机的人可以看看。-On support vector machine matlab program, learning support vector machines can see.
svmpaper
- 关于支持向量机的两片文章，在医学图像分割领域的应用，希望对大家有启发-To support vector machines two articles in the field of medical image segmentation applications, we want to have inspired
SVM-KMExample
- 支持向量机SVM和核函数的matlab程序集-SVM matlab
OSU_SVM3.00
- 支持向量机的相关程序：包括了支持向量机在图像处理中的多个用处-Support vector machine procedures: including support vector machines in a number of useful image processing
aa
- 基于支持向量机与无监督聚类相结合的中文网页分类器，好文章-un supervised clustering algo rithm
USPS2Bsvm
- 自己用支持向量机编的一个小程序，很好的实现了分类-Their series with support vector machine is a small program achieved very good classification
SVMNN
- 使用支持向量机SVM神经网络分类数据的预测-the prediction of data classification by SVM neural network
svmTrain2
- 局部化的支持向量机（LSVR）训练内核函数-function for LSVR(localized support vector regression) training
SVM
- SVM基础资料,关于核函数的分类及可支持向量机的一些资料-SVM based on information about the kernel function support vector machine classification and may some of the information
SVM_lzb1p0
- 支持向量机代码，和Matlab上自带的代码不一样啊-Support vector machine code
461518386Yale_PCASVM
- 程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。-svm apply to fenlei
svm
- 支持向量机可以对样本进行的分类，具有很好的泛化能及，并且可以解决小样本学习问题，在学习过程中避免出现局部最优解-Support vector machine classification of samples can have very good generalization can be and, and can solve the small sample learning problems, in the learning process to avoid local optima
SVM
- 支持向量机辅助程序，可以帮助完成支持向量机的计算过程-Support vector machine aids, can help to complete the calculation process SVM