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true error less Any learner that outputs a hypothesis consistent with all training examples.

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Presentation on theme: "true error less Any learner that outputs a hypothesis consistent with all training examples."— Presentation transcript:

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13 true error less

14 Any learner that outputs a hypothesis consistent with all training examples

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18 true errortraining errordegree of overfitting

19 What if H is not finite? Can’t use our result for finite H Need some other measure of complexity for H –Vapnik-Chervonenkis dimension!

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27 1.Initialize VS to all hypotheses in H 2.For each training example, remove from VS all hyps. that misclassify this example

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29 Weighted Majority Algorithm when  =0, equivalent to the Halving algorithm…

30 Even algorithms that learn or change over time…

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