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Sep 6, 2016 at 12:19 history edited Andre Silva CC BY-SA 3.0
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May 13, 2012 at 19:34 history edited fgregg CC BY-SA 3.0
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May 13, 2012 at 19:33 comment added fgregg I mean linearly separable in some feature space.
May 13, 2012 at 19:30 comment added user603 fgregg: you mean linearly separable.
May 13, 2012 at 17:52 history edited fgregg CC BY-SA 3.0
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May 13, 2012 at 17:51 comment added fgregg I should have specified that SVM's resistance to outliers only hold if the classes are separable. I'll make the change.
May 13, 2012 at 16:18 comment added TenaliRaman "since one of the properties of SVM is that it effectively ignores all the data that is far from the decision boundary". This statement is incorrect. SVM is actually very sensitive to outliers. There is still ongoing research on how to supress the influence of outliers like this one for example.
May 13, 2012 at 14:19 history answered fgregg CC BY-SA 3.0