All experiments are done using LibSVM
and the SimpleMKL toolbox in MatLab 2015b.
: a library for support vector machines", ACM Transactions on Intelligent Systems and Technology, vol.
In this work, we utilized the LIBSVM
tool developed by Lin et al.
Since only default parameters were used, LibSVM
and SPegasos, which could be considered an optimized SVM, were designated as outliers with high counts.
For QSVMs, default learning parameters are those defined in the libSVM
library (this software is available at https://www.csie.ntu.edu.tw/~cjlin/libsvm/).
Secondly, seven out of eight groups are used to train the multiclass SVM classifier with LibSVM
, and the remaining group is left for validation purposes.
, gnuplot.exe is an executable tool, which is used to find the optimal parameters pairs C and Y, while the goal of the parameter optimization operation is to classify the unknown data.
The toolbox LibSVM
 was used for standard SVM approaches, while the SeDuMi Matlab Toolbox  and the codes provided by Shao et al., the author of Twin-Bounded SVM  (publicly available in http://www.
 toolkit was used to complete the contrast test in SVMs.
The performance of our proposed CHDNet incorporating LIBLINEAR SVM  was also compared with other classifiers, including LDA, KNN, CART, GBDT, RF, and LIBSVM
using identical data and features.
In this study, we used the LibSVM
package 3.18 (http://www .csie.ntu.edu.tw/~cjlin/libsvm/) to implement SVM.
In our implementation, multiclass SVM training and testing are performed using the LIBSVM