1.LIBSVM and Liblinear differences, simple source analysis.
http://blog.csdn.net/zhzhl202/article/details/7438160
http://blog.csdn.net/zhzhl202/article/details/7438313LIBSVM is a software that integrates support vector machines (c-svc, nu-svc),
The rapid development and improvement of SVM shows many unique advantages in solving small-sample, nonlinear and high-dimensional pattern recognition problems, and can be applied to other machine learning problems such as function fitting. From this
Http://www.csdn.net/article/2012-12-28/2813275-Support-Vector-Machineabsrtact: support vector Machine (SVM) has become a very popular algorithm. This paper mainly expounds how SVM works, and also gives some examples of using Python scikits library.
Preface:
This article describes Ng's notes about machine learning about SVM. I have also learned some SVM theories and used libsvm before. However, this time I have learned a lot about Ng's content, and I can vaguely see the process from
Internet access to data, in the MATLAB forum found a good long good post, recommended for want to study SVM beginners.
Post Advantages:
1, in detail. For example: The setting problem of the Matlab Mex, the meaning of each option of Mex-setup is
Preface
In this paper, how to use the KNN,SVM algorithm in Scikit learn library for handwriting recognition. Data Description:
The data has 785 columns, the first column is label, and the remaining 784 columns of data store the pixel values of the
keyword (keywords): SVM support vector machine SMO algorithm for machine learningassuming that the SVM principle is not very understanding, you can first look at the introduction of the Video , to help understand the very practical, and then go into
This article for different stages of the SVM to comb and summarize, whether it is the primary version of the SVM, or upgrade version of the SVM, you will find that its real SVM has been two core in it, I believe that after reading this article of
0. Download The libsvm compressed package and decompress it to the local directory (from: http://www.csie.ntu.edu.tw /~ Cjlin/libsvm/index.html)1. Create a JAVA project and import the libsvm package and its source code.2. Write the test code and use
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