搜索资源列表
SVM
- 在matlab中的代码，SVM进行心脏病分类，很基本的回归和分类样例(The code in MATLAB, SVM for heart disease classification, very basic regression and classification examples)
SVM
- 使用HOG提取特征，SVM进行图像分类，可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
svm
- Here is the Matlab code for SVM classification with data.
SVM论文1
- SVM图像分类的论文5篇，是最近几年的，有参考价值(5 papers on the classification of SVM images, which are of reference value in recent years.)
svm
- SVM支持向量机(Support Vector Machine)，使用svm实现样本分类(SVM (Support Vector Machine) classification)
SVM工具箱
- 四种SVM工具箱的分类与回归算法LS_SVMlab、OSU_SVM3.00、stprtool\svm、SVM_SteveGunn(Classification and regression algorithm of four kinds of SVM toolbox LS_SVMlab,OSU_SVM3.00,stprtool\svm,SVM_SteveGunn)
svm
- 使用smo算法实现了支持向量机的python代码(complete the svm mode and Sequential minimal optimization with python code)
svm
- svm wine classification trial
SVM
- 使用SVM对数据进行分类，可参考对SVM原理的讲解对代码及其算法进行进一步理解。(Using the SVM to classify the data, we can refer to the explanation of the SVM principle to further understand the code and its algorithms)
SVM
- 它分类的思想是，给定给一个包含正例和反例的样本集合，svm的目的是寻找一个超平面来对样本根据正例和反例进行分割。(The idea of classification is to give a sample set containing positive and negative examples. The purpose of SVM is to search for a hyperplane to segment samples based on positive and negative
基于训练样本自动选取的SVM彩色图像分割方法研究
- 该文献主要介绍了基于训练样本自动选取的SVM彩色图像分割方法，详细的对比了各种方法的优缺点(This paper mainly introduces the SVM color image segmentation method based on the training sample automatically, and compares the advantages and disadvantages of various methods in detail)
svm
- 分类,支持向量机的一个小应用。。。。。。。。(The programe is on the research of classment by the method of svm)
SVM-KM
- SVM-KM工具箱 关于支持向量机核方法的有利工具(svm-km toolbox, a useful tool for support vector machine about kernel method.)
SVM-KMExample
- svm-km 例子，关于svm-km工具箱的使用方法及例子(svm-km example, methods and examples of the use of the svm-km toolbox.)
SVM
- 包含完整的SVM算法，下载即可使用。其中包括数据集和完整的算法结构，算法结构包括数据清理、核函数升维以及SMO优化算法，可以较好实现数据非线性分类。(Contains the complete SVM algorithm and download it for use. Including the data set and the complete algorithm structure, the algorithm structure includes data cleaning, kerne
svm
- 基于SVM的用户价值分类，用于判断用户潜在的价值以便于进行客户挽留。(User Value Analysis based on SVM)
基于SVM发动机故障诊断
- 对研究SVM和发动机故障诊断有帮助，包含几篇高质量的参考文档(Useful for researching SVM and engine fault diagnosis)
svm
- 里面包含SVM线性和非线性处理的一些程序，希望对大家有所帮助(Linear classification)
SVM 印章分类
- matlab 开发，使用SVM方法实现印章和背景的自动分类，分类效果较好(Matlab development, using SVM method to realize automatic classification of seal and background, the effect of classification is better)
SVM文本分类实验平台
- 内有svm文本分类开发源码，和具体的说明文档(There are SVM text categorization development source code, and specific documentation)