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Observer--Fragmentation--Exposure Tradeoffs: From Rectangular CFG Exposure to Ordered MCFG Scheduling

Kuriyama, Takayuki
arXiv (All) · Papers
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68t05formal-languages-and-automata-theoryi-2-6
We study finite resources governing exact positive reconstruction in fixed-observation CFG and MCFG learning. For an explicit rigid CFG family we compute safe observation size, internal residual fragmentation, and characteristic-data cost exactly. The result is a two-point Pareto frontier: after com
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