AINeutralarXiv – CS AI · 10h ago5/10
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Data Evolution by Wittgenstein's Rule Following
Researchers introduce Wittgenstein's Rule Following (WRF), a novel framework for generating new datasets by extrapolating patterns from historical dataset sequences. Rather than sampling from fixed distributions, WRF uses structural descriptors to identify implicit rules and family resemblances across evolving data, enabling flexible dataset generation where sample size and dimensionality can vary.