Density of compressible types and some consequences
We study compressible types in the context of (local and global) NIP. By extending a result in machine learning theory (the existence of a bound on the recursive teaching dimension), we prove density of compressible types. Using this, we obtain explicit uniform honest definitions for NIP formulas (a...
Main Authors: | Bays, M, Kaplan, I, Simon, P |
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格式: | Journal article |
語言: | English |
出版: |
EMS Press
2024
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