搜索资源列表
svm_multiclass.tar
- SVM支持向量机多分类器源码，用过的，绝对好用-SVM SVM classifier source, used absolutely everything
基于svm的分类器
- c++ 开发的svm分类器，功能不错，支持多类，多标签分类。使用方便，欢迎下载！
svm_matlab_3classes 基于支持向量机的多类分类
- 一个很不错的基于支持向量机的多类分类的matlab程序。-Based on a very good multi-class support vector machine classification of the matlab program.
ocksvm
- 用超球面支持向量机进行多类分类,每个超球面覆盖一个类-Hypersphere support vector machines using multi-class classification
Classification_toolbox
- 用于分类的一个工具箱，内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码，还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
OSU_SVM3.00
- matlab支持向量机用于多类模式的分类，较全面，可以迅速解决问题，值得下载！-matlab support vector machine model for multi-category classification, a more comprehensive, you can quickly solve the problem, it is worth to download!
Wavelet_Based_Feature_Extraction_for_SVM_for_Scree
- 支持向量机在模式识别和分类中应用广泛， 小波方法的多尺度特性也众所周知。 本文将小波和支持向量机相互结合实现特征提取。-Support vector machine in pattern recognition and classification of the application of a wide range of multi-scale wavelet method is also well-known characteristics. In this paper, wavel
oao
- 多分类问题的支持向量机源程序一对一方法 绝对可以运行-Multi-class SVM using One-Against-One decompositionoao
gyy
- 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression proble
webcat
- 这是一个100 ％纯Java库，您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法， namelly 支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
non-linearSVMmulti-classification
- 转发一个可视化的非线性支持向量机多分类源码，比较实用易学，值得进一步深入开发。-non-linear SVM multi-classification
SSVM_MATLAB
- MATALB 编写的最小二乘支持向量机，可实现多分类问题，包含双参数优化。-LSSVM compiled by MATLAB language,It can realize multi-classification,and work very well.
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
levmar-2.4
- unix下开发的多分类支持向量机的源程序，程序应用很灵活，编译后即可使用。-unix developed under the multi-class Support Vector Machine source, the program application is very flexible and can be used after compilation.
bsvm-multisvm
- 一个多分类支持向量机的文件，可直接运行，并且可以多数据进行多重分类，十分好用-A multi-class support vector machine files can be directly run, and can make multiple multiple data classification, is very easy to use
LS-SVMlab1.5(advanced)
- 最小二乘支持向量机算法程序，可用于解决多类分类问题-Least squares support vector machine procedures that can be used to solve multi-class problem
学习支持向量机
- 很详细很有意思的关于支持向量机的介绍。里面从线性分类到二类支持向量机再到多类向量机，介绍的很详细，很具体。
svm-mat
- 支持向量机工具包，进行多类分类和二类分类任务(support vector machine)
svmtrain
- 基于支持向量机的对指定多个包含特征的训练集图片，包含label信息。训练后，可对于相同格式的图片进行分类。(A training set image containing multiple features is included in the support vector machine (SVM), which contains label information. After training, the pictures in the same format can be classifi
mtsvm
- 多分类孪生支持向量机,主体是-1 1的2分类孪生支持向量机，采用onevsone改编成多分类的孪生支持向量机(multi classification twin support vector machine, kernel code is binary-classification twin support vector machine ,constructed it as a multi classification twin support vector machine by using O