CS-SVM
CS-SVM 

Directory: Other systems
Plat: matlab
Size: 16KB
Downloads: 4
Upload time: 2019-09-25 10:47:03
Uploader: 黄冲帅帅哒
Description:   Empirical risk is defined by loss function, which describes the accuracy of the classification results given by the classifier. Structural risk is defined by the norm of the parameter matrix of the classifier, which describes the complexity and stability of the classifier itself. Complex classifiers are prone to over-fitting, so they are unstable. If a classifier determines its model parameters by minimizing the linear combination of empirical risk and structural risk:

File list:
CS_SVM_exmp.m, 3051 , 2018-01-10
CS_SVR_exmp.m, 2716 , 2018-01-10
cuckoo_ori_with_chinese_note.m, 6483 , 2018-01-10
empty_nests.m, 999 , 2018-01-10
fobj.m, 426 , 2018-01-10
get_best_nest.m, 676 , 2018-01-10
get_best_nest_svm.m, 698 , 2018-01-10
get_cuckoos.m, 1629 , 2018-01-10
mymae.m, 70 , 2018-01-10
mymape.m, 85 , 2018-01-10
mymse.m, 74 , 2018-01-10
objfun.m, 402 , 2018-01-10
simplebounds.m, 376 , 2018-01-10
wine.mat, 20168 , 2018-01-10
wndspd.mat, 447 , 2018-01-10

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