Embedding with a Lipschitz function

نویسنده

  • Shahar Mendelson
چکیده

We investigate a new notion of embedding of subsets of {−1, 1}n in a given normed space, in a way which preserves the structure of the given set as a class of functions on {1, ..., n}. This notion is an extension of the margin parameter often used in Nonparametric Statistics. Our main result is that even when considering “small” subsets of {−1, 1}n, the vast majority of such sets do not embed in a better way than the entire cube in any normed space that satisfies a minor structural assumption.

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عنوان ژورنال:
  • Random Struct. Algorithms

دوره 27  شماره 

صفحات  -

تاریخ انتشار 2005