AI 中文总结
针对间隔重复软件的记忆模型需可解释且能外推现有调度器数据，研究提出SBD模型，其可解释性更强、规模比当前最先进模型小80%且准确率相近。
AI 中文摘要
间隔重复软件会根据适配了复习日志的记忆模型来安排复习。测试集上的准确率不足以作为质量的证据，因为可用数据由现有调度器生成，新方案必须能在这些数据之外进行外推。模型还需要具备简单的机制解释。我们提出SBD模型，该模型可解释性更强，规模比当前最先进模型小80%，且准确率几乎相同。
英文摘要
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 interpretation. We present SBD, a model that is more interpretable and 80% smaller than the current state of the art at nearly the same accuracy.
CommentsAlso available on Zenodo: doi:10.5281/zenodo.22727106
