搜索资源列表
SVM
- 这是一个支持向量机的程序代码，对于图像的分类识别有很高的准确率、-This is a svm program
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!
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma
SVC
- 使用支持向量机实现对数据的分类工作，精度很高，但是存在运行时间比较长的问题-The use of support vector machine implementation of the classification of data, high accuracy, but the existence of relatively long running time problem
最小二乘支持向量机工具
- 采用最小二乘支持向量机完成对信号的分类，预测功能。 该工具包在2009版本上已经验证。
SVM-for-classfication-and-regression
- 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例，依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
MATLA+svm
- 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-SVM prepared using MATLAB source code, you can achieve the support vector machine for feature classification or extraction
winsvm2.0
- 本软件是 windows系统平台下的支持向量机软件，包括了支持向量机的几种常用类型，可用于分类和回归-This software is under the windows system platform support vector machine software, including support vector machines for some commonly-used type, can be used for classification and regression
class
- 这个是我自己编写的基于混沌自适应粒子群优化支持向量机用于分类的matlab程序，本程序以心脏病的诊断为例，得出了非常好的效果！主要贡献在于解决了支持向量机参数人为选取随意性大且效果好坏不稳定的难题！-This is what I have written based on adaptive chaotic particle swarm optimization of support vector machine for classification of matlab procedures, t
SVM_SteveGunn
- 支持向量机的分类和回归算法,可用于模式识别和预测-Support vector machine classification and regression algorithms can be used for pattern recognition and prediction
SVM_lzb1p0
- svm（支持向量机）能进行分类。有不同的核函数，如线性，多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
SVM_lzb1p0
- 支持向量机matlab程序 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support vector machine matlab procedur
svm_matlab
- 支持向量机的matlab程序实现，可用于模式分类，模式识别-SVM matlab program can be used for pattern classification, pattern recognition
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.
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
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