Q1315 rbf vsm eout=0?
Q1315 EOUT from rbf support vector machine is always 0.and this machine can never be beaten by k mean rbf .... what is the mistake i probably made?

Re: Q1315 rbf vsm eout=0?
Quote:
Sorry for the troubles i made... and thanks for your quick reply The Eout I achieved from RBF kernel vector support machine is always 0. Is correct ? you gave excellent lectures! What book would you recommend for further studying on machine learning , or machine learning in financial field? 
Re: Q1315 rbf vsm eout=0?
Quote:
Quote:

Re: Q1315 rbf vsm eout=0?
Quote:
The training data and testing data are totally separate. I used 100 training data to train this rbf vector support machine ,and randomly generate 100 new points for testing. (no matter how many times i randomly generate 100 points , Eout is always 0) 
Re: Q1315 rbf vsm eout=0?
Quote:
A zero outofsample error means that the target boundary was perfectly replicated, an illogical event when we train with only 100 points. 
Re: Q1315 rbf vsm eout=0?
Quote:

Re: Q1315 rbf vsm eout=0?
Quote:
MATLAB CODE %%%% [maxval, maxind] = max(alpha); b=1/y(maxind) kernel_x(maxind,:)*(alpha.*y); %%%% and i was unable to get w , then Ein was measured by %%% pred=sign(kernel_x*alpha.*y+b); Ein_svm=numel(find(pred~=y)); For test , i used pred=sign(test_kernel_x*alpha.*y+b); Eout_svm=numel(find(pred~=y_test)). as if the number of test data points are not consistent with number of training data points. test_kernel_x*alpha.*y is unable to be calculated , as dimensions do not match....... I think there is some confusion about my understanding to kernel vector machine. isn't w unachievable? Thanks professor. 
Re: Q1315 rbf vsm eout=0?
correction *b=1/y(maxind) kernel_x(maxind,)*(alpha.*y);
:shock::shock::shock: 
All times are GMT 7. The time now is 07:32 PM. 
Powered by vBulletin® Version 3.8.3
Copyright ©2000  2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. AbuMostafa, Malik MagdonIsmail, and HsuanTien Lin, and participants in the Learning From Data MOOC by Yaser S. AbuMostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.