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Old 05-16-2013, 03:55 PM
Katie C. Katie C. is offline
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Join Date: Apr 2013
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Default Q8-Q10, computing b, Ein non-zero

I am finding that when I use N=100 I get a non-zero Ein value for about 6% of the trials (60 out of 1000). On those trials I get one misclassified training point which is very close the the boundary. I think it is due to the calculation of b. I am seeing a range of b values depending on which support vector I pick to compute it. As a result, I started using the mean b value. However, I suspect that is causing the misclassification. I am using Matlab's quadprog with the interior point method as recommended here:
http://courses.csail.mit.edu/6.867/w...p-quadprog.pdf

It is converging reliably. I am adding a very small amount to the diagonal of H.

What is the best method for computing b? how much variability is expected?
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