PAC learnability of a concept class under non-atomic measures: a problem by Vidyasagar
Abstract: 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 $\VC({\mathscr C}\,{\mathrm{mod}}\,\omega_1)$ 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 uncountableclusters''. Equivalently, $\VC(\mathscr C\modd\omega_1)\leq d$ 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).
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