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一、由于项目需要,应用了SVM进行训练和测试

1、 SVM 程序包 libsvm:

    应用svm开发必看网站: http://www.csie.ntu.edu.tw/~cjlin/libsvm/

 

2、 Adaptive Support Vector Machines (aSVM)

    在libsvm 基础上,开发出来的自适应svm。 经过简单测试,调解参数后,识别率能比libsvm高

    http://www.cs.cmu.edu/~juny/AdaptSVM/index.html

   aSVM由CMU的博士生 Jun Yang 开发的

 

二、Bayesian Logistic Regression  贝叶斯logistic回归

       This is the permanent home page for the open source Bayesian logistic regression packages BBR, BMR, and BXR. There are currently six programs in the B*R family. All six programs were released by David Madigan of Rutgers University in 2007 under the MIT X License, an open source license which allows the programs to be modified by anyone and used for essentially any purpose. (See the text of the license in the source code files for details.)

        http://www.bayesianregression.org/   

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