Work

VC density and dp rank

Year: 2011
Type: preprint
Abstract: We derive that dpR(n) \leq dens(n) \leq dpR(n)+1, where dens(n) is the supremum of the VC density of all formulas in n parameters, and dpR(n) is the maximum depth of an ICT pattern in n variables. Consequently, strong dependence is equivalent to finite VC density.
Language: English
Open Access status: green
OpenAlex ID: W149018418
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