搜索资源列表
SVMclassification
- 介绍了SVM分类器原理,已经改进的算法,还有改进后的实验结果等等,是一个难得的好资料! -Introduced the principle of SVM classifier, the algorithm has been improved, as well as improved experimental results, etc., is a rare good information!
svm
- 支持向量机在目标分类中的应用,对支持向量机初学者应该有帮助-Support Vector Machine Classification in the target application of support vector machine for beginners should be helpful
Ncut_SVM
- 此源码可对图像进行Ncut分割,并且集成了特征提取和SVM分类的功能。-This source can be Ncut image segmentation, and integrates the feature extraction and SVM classification function.
winsvm
- 实用的 SVM 预测和分类程序, 可根据自己的需要设置参数-Practical SVM prediction and classification procedures, may need to set up according to their own parameters
svm
- 中文文本分类,应用SVM对中文文本进行分类,具有高性能-Chinese text classification, applications to the Chinese version of SVM for classification, with high-performance
SVM-KM
- svm详细例子(包括分类,回归)等。需要的人,下载试试。多交流.我需要svm-smo的matlab源码。谁有?-SVM detailed examples (including classification, regression) and so on. Those who need it, download a try. More exchanges. Svm-smo I need the matlab source code. Wh
SVM
- 支持向量机是一种有效率数据挖掘分类工具,它做为预处理工具使用-Support vector machine is an efficient classification of data mining tools, which tools to use as a pretreatment
svm-EM
- SVM(支持向量机)和EM(最大熵)文本分类算法,压缩包中包括了测试文本(环境类和计算机类),词典,停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary
SVM
- 有基于 matlav的svm软件工具,感觉挺好用的。里面有很多实例,稍加修改就可以使用。例如三分类问题: 1、输入三类数据xapp yapp 2、选择多类分类方法(一对多或一对一或m-svm) 3、设置参数 4、调用训练函数得到向量机参数 5、输入测试数据,得到预期结果。 -There is matlav based on the SVM-based software tools, I feel pretty
libsvm-mat-2.88-1
- matlab编写的SVM分类器源代码,效果不错,是很好的东西哦!-matlab prepared SVM classifier source code, well, things are good Oh!
SVMWrap
- SVM分类代码,实现起来比libsvm更加好用。-SVM classification code, achieve more good than libsvm.
SVM-toolbox
- 用于分类的matlab工具箱,供大家学习交流-Matlab toolbox for classification ,We can exchange advices with it.
pca-svm
- 使用pca和svm方法对表情进行分类,有较高的识别准确率-The use of pca and expression svm classification methods, which have a higher recognition accuracy
Main_SVM_One_Class
- svm Main_SVM_One_Class 用于svm分类的 在matlab中运用 -svm classification svm Main_SVM_One_Class for use in matlab
svm_v0.54
- svm的分类和应用~~有详细的例子,非常实际和好用-svm classification and application ~ ~ There are detailed examples, very practical and easy to use ~ ~
svm
- 这是在模式识别中常用的一个分类器,不过这是一个线性2分类问题,对于多分类问题,可以直接转化~-This is commonly used in pattern recognition, a classifier, but this is a linear 2 classification for multi-classification problems, can be directly translated into
svm-km
- 支持向量机(SVM)是数据挖掘中的一个新方法,能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题,并可推广于预测和综合评价等领域,因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化(Tikhonov Regularization)方法的一个特例.这
SVM
- SVM支持向量机的时间序列预测、分类、自回归代码-SVM
bisvm
- SVM分析软件,实现基本的SVM分类功能。-SVM analysis software, to achieve the basic function of the SVM classification.