Concept
Two-level variance model
A statistical model that decomposes the variance in stochastic machine learning experiments into two levels: seed-level dispersion across runs and item-level noise.
Timeline (last 90 days)
Oct 19
The core of the protocol proposed in this study is a two-level variance model that separately models seed-level between-run dispersion and item-level noise.
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