Margin Analysis
نویسنده
چکیده
In the last few lectures we have seen how to obtain high confidence bounds on the generalization error of functions learned from function classes of limited capacity, measured in terms of the growth function and VC-dimension for binary-valued function classes in the case of binary classification, and in terms of the covering numbers, pseudo-dimension, and fat-shattering dimension for real-valued function classes in the case of regression. Table 1 summarizes the nature of results we have obtained.
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