COS 511 : Theoretical Machine Learning

نویسنده

  • Aaron Schild
چکیده

Last class, we discussed an analogue for Occam’s Razor for infinite hypothesis spaces that, in conjunction with VC-dimension, reduced the problem of finding a good PAClearning algorithm to the problem of computing the VC-dimension of a given hypothesis space. Recall that VC-dimesion is defined using the notion of a shattered set, i.e. a subset S of the domain such that ΠH(S) = 2 |S|. In this lecture, we compute the VC-dimension of several hypothesis spaces by computing the maximum size of a shattered set.

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تاریخ انتشار 2013