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Interpretable Memory Models for Spaced Repetition

Schill, Anders
arXiv (All) · Papers
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machine-learningneurons-and-cognition
Spaced repetition software schedules reviews with a memory model fit to review logs. Accuracy on a test set is not sufficient evidence of quality since available data are produced by existing schedulers, and new solutions must extrapolate beyond them. A model also needs a simple mechanistic interpre
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