SVM模式识别与回归我要分享

SVM pattern recognition and regression

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开发平台: matlab

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中文说明:LIBSVM是台湾大学林智仁(Lin Chih-Jen)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,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式识别问题。


English Description:

Libsvm is Lin Zhiren of Taiwan University A simple, easy-to-use, fast and effective SVM pattern recognition and regression software package developed by Professor Chih Jen not only provides compiled executable files that can be used in windows series system, but also provides source code, which is convenient for improvement, modification and application in other operating systems; the software has relatively few adjustment of parameters involved in SVM, and provides a lot of reference Default parameters, which can solve many problems, and provide the function of cross validation. The software can solve the problems of C-SVM, ν - SVM, ε - SVR and ν - SVR, including multi class pattern recognition based on one-to-one algorithm.


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