Background Tobacco use imposes significant economic burden, particularly in low and middle-income countries, diverting ...
Objective Sanaag and Sool are two remote regions in Somaliland with limited access to health service and high burden of HIV/AIDS. The aim of this study was to identify the predictors of HIV/AIDS ...
A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
The growth of urban landscapes has genarally reduced biodiversity worldwide. Invertebrates have explored different environments, and it usually takes different sampling techniques to get a ...
Abstract: We propose a sample-based model predictive control (MPC) method for collision-free navigation that uses a normalizing flow as a sampling distribution, conditioned on the start, goal, ...
Originally published1 Aug 2006https://doi.org/10.1161/CIRCULATIONAHA.105.600189Circulation. 2006;114:445–449 Estimation is the process of determining a likely value ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
As genetic studies grow, researchers are increasingly seeking to identify rare genetic variants with large impacts on traits. In this paper, we combine theoretical methods and data analysis to show ...
Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large ...
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