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Old 09-12-2012, 08:27 PM
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yaser yaser is offline
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Default Re: Clarification Request On Problem 14

Quote:
Originally Posted by munchkin View Post
If a data set is not separable using RBF in the Z-space then the QP solver will hit the iteration limit and bomb. If the solver completes and returns an alpha vector that happens to provide zero in-sample error with the test data set then how does that indicate that the training data was not linearly separable? Is every occurrence of zero in-sample error during testing to be interpreted as a failure to separate the training data? I don't understand the operating procedure specified by the problem text.

Thanks for your attention.
If you get \alpha's that achieve zero in-sample error, then the training data is separable by definition (those separating \alpha's are an existence proof of that fact).
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