Description: Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.
- [Supportvectormachine] - data mining algorithms, support vector m
- [msvcr71] - c procedures related to the design code.
- [svmsmo] - Seeking support vector machine algorithm
- [svmsm] - SMO algorithm Matlab, spent a lot of tim
- [Spider4dataanlysis] - Spider-Matlab Toolbox for a good data an
- [four Toolbox for SVM] - Here the realization of the four SVM too
- [QPSK] - MATLAB-based system simulation of PSK tr
- [stprtool] - This section should give the reader a q
- [svm_smo] - Support vector machine (svm) of the sequ
- [EasyEnsemble] - Based on sampling techniques used under
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