Discover how simple random sampling ensures accurate and unbiased population research, offering efficiency and fairness over ...

Abstract: The information system based on the double random algorithm is widely used in the industry with the implementation of the "double random and one open" policy. However, the traditional ...

Readme File: "Adaptive sampling and monitoring of partially observed images" Updating Date: Aug. 31st, 2023. Authors: Blinded for review purpose. To replicate the simulation results, one just needs to ...

Abstract: The ever growing presence of data lead to a large number of proposed algorithms for classification and especially decision trees over the last few years. However, learning decision trees ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.