根据Joachims在98年提出的svm_light算法的具体实现，程序是作者Joachims提供下载的
上传时间： 2014-02-20
上传用户：xsnjzljj
Joachims的SVM-light工具包 里面含有 两个.exe文件svm_classify.exe svm_learn.exe 可以实现Transductive SVM用Anton s Matlab interface to SVM light 使用会更方便
标签： exe Transductive svm_classify SVM-light
上传时间： 2017-01-18
上传用户：15736969615
Anton s Matlab interface to SVM light 提供Joachims的SVM light 使用非常方便
标签： light interface SVM Joachims
上传时间： 2017-01-18
上传用户：asdfasdfd
最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.
上传时间： 2013-12-16
上传用户：亚亚娟娟123
这个是我最近得到的支持向量机 light 的源码包。。。这个源码包主要是用作文本分类，它是由Joachims首先提出并实现。。。希望对大家有帮助！
上传时间： 2015-05-10
上传用户：x4587
This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles and their various interaction into the alignment model. It was developed under Linux and compiles under gcc, built upon the svm^light software by Thorsten Joachims.
标签： implementation structural for alignment
上传时间： 2014-01-11
上传用户：chenbhdt
