搜索资源列表
SVM--SVM
- 支持向量机，用于分类，含训练集与测试集。里面含有六个源程序-support vector machines for the classification, with the training set and test sets. It contains six source
SVMBench
- SVMBench是一个以libsvm为基础的SVM测试、比较的工具。-SVMBench is a libsvm-based SVM testing, comparison tools.
SVM
- 支持向量机的MATLAB训练测试源代码,绝对好用.-MATLAB Support Vector Machine Training test source code, the absolute ease of use.
LS-SVM
- 基于LS-SVM的入侵检测模型与实时测试平台研究-LS-SVM based intrusion detection model and real-time test platform for research
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
osu-svm
- 是matlab编写的一个支持向量机的程序，经测试有效。程序里附带了了demo，有注释。-Matlab are prepared by a support vector machine procedures, tested and effective. Program comes with a demo, there is the Notes.
SVM
- 用C语言自己编写基于特定训练数据和测试数据的SVM程序，并用AUC对其评估-I have written using C language based on the specific training data and test data of the SVM procedure, and their assessment of AUC
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
- SVM工具箱，做分类和回归用很好。6.5下测试通过。-SVM Toolbox, to do with a good classification and regression. 6.5 under test.
Based-on-SVM-speaker-recognition
- 基于SVM的文本无关说话人识别算法研究，本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验，总结系统的各方面性能和分析存在的问题，为进一步研究提供了方向和宝贵的经验。 -SVM-based text independent speaker recognition algorithm, the paper used in the final implementation
SVM
- 一个简单的向量机实例，MATLAB7通过，可以用7进行测试(a svm modle,this is a little a little svm use matlab7.0)
SVM
- 一个MATLAB语言写的SVM算法测试例，便于理解SVM二分类方法的实际含义(A MATLAB language written SVM algorithm test case, easy to understand the SVM two classification method of practical significance)
SVM算法二分类
- 将支持向量机（SVM）用于模式识别，解决二分类问题，程序中包含训练集和测试集。(The support vector machine (SVM) is used for pattern recognition to solve the dichotomy problem, which includes training set and test set.)
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
- 训练集：trainset(); 分别取bedroom(1:5,:)和forse(1:5,:)作为训练集； 测试集：testset(); 分别取bedroom(6:10,:)和forse(6:10,:)作为测试集； 标签集：label(); 取bedroom的数据为正类标签为1；forse的数据为负类标签为-1.(Training set: trainset (); take bedroom (1:5,) and forse (1:
SVM
- 自己用C#写的libsvm算法，可在控制台训练和测试(the libsvm algorithm by C# programming)
SVM
- 该算法用Visual Studio编写 ，用于实现对样本的训练以及测试，并可以转换成matlab语言，直接调用子程序(The algorithm is written in Visual Studio, which is used to train and test the sample, and can be converted into a matlab language and directly invoked the subro
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做图片处理
- 使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)