搜索资源列表
prtools
- 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
mohulssvm
- 模糊支持向量机文档，将模糊理论与支持向量机相结合-FSVM documents, the fuzzy theory and support vector machines combine
svm
- 纠错输出编码的多类支持向量机,自己编辑的码本,完全随机编码,对于7-15类效果很好-err
71477180Cppntwork
- 神经网络支持向量机程序，用于模式识别，股指预测 -Neural network support vector machine procedures for pattern recognition, stock prediction
LSSVMstudy
- 对学习最小二乘法的初学者有很大的帮助的一篇文章最小二乘支持向量机算法及应用研究-Least square method of learning is very useful to beginners in an article- least squares support vector machine algorithm and applied research
OnlineSVR_Matlab_7.0_2006_CodeManual
- 一个适合进行在线支持向量机回归辨识的Matlab源程序。-Matlab programs for on-line regression identification using Support Vector Machine
fuzzylogicMATLAB
- 一个机器学习算法软件包，包括神经网络，模糊逻辑，支持向量机，采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
SVM_Training
- 基于支持向量机算法的分类程序，matlab实现。-Based on support vector machine algorithm for classification procedures, matlab realize.
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
vectorr
- 支持向量机,是一种用于分类的新技术.目前在语音识别中用的比较少.-Support Vector Machine is a new technology for the classification. Currently used in speech recognition is relatively small.
several-SVMs-algorithms
- 支持向量机几个算法源代码 包括以下算法 cSVM3.1.8 libsvm-2.88 newsvm OnlineSVR_C--_Code svmcla-cSVM3.1.8 libsvm-2.88 newsvm OnlineSVR_C--_Code svmclass
svm_matlab_toolsbox_and_examples
- matlab中实现的支持向量机的工具箱和例子-svm_matlab_toolsbox_and_examples.rar
SVMfenlei
- 支持向量机模式分类程序,可对两类模式进行分类识别-Support vector machine pattern classification procedures, two types of models can be classified to identify
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
svdd
- 超球面支持向量机，一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
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 useless. Inside there is a lot
LS-SVMlab1.5aw
- 一种基于matlab的支持向量机小例子，用于预测，LS-A matlab-based support vector machine small example for the prediction, LS
pptryosu5class2
- 用支持向量机对数据进行分类，每组数据有三个特征值分为五类-Using support vector machines for data classification, each group has three eigenvalues of the data is divided into five categories
25811252GUI_PR_SVM
- 支持向量机工具箱，实现分类的算法，简单好用-Support Vector Machine Toolbox, realize the classification algorithm, easy-to-use
SVM_luzhenbo
- 支持向量机工具箱，可进行分类，预测等，实现了四种支持向量机工具箱的分类与回归算法，有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of