In response to a 1997 problem of M. Vidyasagar, we state a necessary and
sufficient condition for distribution-free PAC learnability of a concept class
under the family of all non-atomic (diffuse) measures on the
domain . Clearly, finiteness of the classical Vapnik-Chervonenkis
dimension of is a sufficient, but no longer necessary, condition.
Besides, learnability of under non-atomic measures does not imply
the uniform Glivenko-Cantelli property with regard to non-atomic measures. Our
learnability criterion is stated in terms of a combinatorial parameter
which we call the VC dimension of
modulo countable sets. The new parameter is obtained by
thickening up'' single points in the definition of VC dimension to uncountable clusters’'. Equivalently, if
and only if every countable subclass of has VC dimension
outside a countable subset of . The new parameter can be also expressed
as the classical VC dimension of calculated on a suitable subset
of a compactification of . We do not make any measurability assumptions
on , assuming instead the validity of Martin’s Axiom (MA).

生成讲解博客的中文版本

生成AI智能校验的中文版本