Quote:
Originally Posted by yaser
You seem to have an interesting way of looking at the situation here, but I want to clarify the setup first. The sample here is the data set that is going to be used to train SVM, right? If so, can you explain why large and small margins will be similar in the above situation?
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From Q8-10 with 100 points, it looked like hypotheses with Ein=0 were limited to a narrow sliver. If you have two pairs of opposite-labeled points near the target boundary, they largely determine allowed solutions, so solutions can't differ much from each other.