Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...
Abstract: Sample-efficient neural architecture search (NAS) techniques have advanced rapidly. Two lines of methods, namely neural predictor and sequential search, have shown promising performance in ...
Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.
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