搜索资源列表
svm
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件还有一个特点,就是对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数就可以解决很多问题;并且提供了交互检验(Cross Validation)的功能-The LIBSVM Taiwan University Chih- J
ruqinjiance-svm
- matlab源文件,对网络数据进行入侵检测,利用libsvm工具箱,对特征进行分类。内容包括:数据的归一化,参数择优(交叉验证),建立svm模型,性能评价。压缩包内有详细的说明文档。-matlab source files, network data for intrusion detection, to use libsvm toolbox, to classify the characteristics. The contents include: data normalization, p
SVM
- 改进后的支持向量机回归代码,需要安装LIBSVM-farutoUltimateVersion工具包。去I love matlab论坛直接搜索下载。附代码说明-Improved support vector machine regression code, you need to install LIBSVM-farutoUltimateVersion toolkit. I love matlab forum to search directly download. With Code Descr
svm
- SVM平台,操作简单、易于使用的通用SVM 软件包,可以解决分类问题(包括C- SVC、n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM )等问题,提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including
SVM-Toolbox
- SVM通用工具包,用于分类预测。附使用说明和一个测试例子。-SVM common toolkit for classification and prediction. Attached instructions and a test case.
svm
- 支持向量机,用于文本分类,这个工具包是分两类所用的-Support vector machine for text classification, this toolkit is divided into two categories used
SVM
- 本实验提供了Matlab中的SVM程序包,利用程序包中提供的函数可进行分类器训练和样本分类。-This experiment provides the SVM in the Matlab package, the use of the function can be supplied in the package for the classifier training and samples.
svm
- 台湾大学教授的新版的支持向量机matlab 工具包;包括线性支持向量机与核函数支持向量机libsvm-3.20-a new matlab tool which is contributed by a professor coming TaiWan university SVM,libsvm-3.20
lib-SVM
- lib-SVM的运行包,在命令行cmd中敲入代码执行相应的训练和测试,压缩包中有命令行示例。-The operation of the lib-SVM package, the command line CMD in the middle of the training and testing of the corresponding code, compressed package in the command line examples.
SVM
- 利用libsvm包,实现人工智能识别。在c语言根据livsvm包实现智能分类与识别功能。-Using the libsvm package, the realization of artificial intelligence identification. In the C language according to the livsvm package to achieve intelligent classification and recognition function.
svm
- 利用matlab实现svm函数包的调用,在人脸数据库yale上进行人脸识别-using matlab to apply function svm to achive scan face on the data of yale
svm-master
- 这是svm工具包,功能比较齐全,通过运行,效果不错,可以实现高光谱图像分类-This is the SVM toolkit, the function is relatively complete, through the operation, the effect is good, can achieve hyperspectral image classification
LS-SVM-toolkit
- 支持向量机的最小二乘法LS-SVM工具包-The method of least squares support vector machine LS-SVM Kit
svm
- 利用支持向量机进行人脸识别,需要自己下载SVM工具包(Support vector machine for face recognition, you need to download SVM Toolkit)
SB2_Release_200
- SB2_Release_200.zip是MATLAB的支持向量机(SVM)工具包,是机器学习中非常有用的工具包。(This is the MATLAB support vector machine (SVM) toolkit,which is very useful for machine learning.)
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)
lssvm
- 最小二乘支持向量机回归,四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output)
svm
- SVR和SVM的matlab工具包,大家可以用于研究matlab原始模型(The MATLAB toolkit for SVR and SVM)
shixionggai6
- 情感分析的源码,需要libsvm包,导入项目然后写个主类调用就可以(Emotion analysis of the source code, you need libsvm package)
libsvm-3.17
- 支持向量机,用于模式识别的特征分类,基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)