Home-based self-sampling for squamous cell carcinoma of the anus could be a cost-effective way to increase screening among ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

This article addresses the high time and cost associated with life testing by proposing a repetitive acceptance sampling plan for time-truncated life tests, specifically for the Exponentiated Frechet ...

Currently the surface distributions support a cosine product sampling optimization but it can be applied only once per distribution and it can't be undone. Since the distribution initialization is ...

The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...

Sampling isn’t just recycling old sounds—it’s a powerful form of musical storytelling that bridges generations, honors cultural legacy, and sparks innovation. Imagine sitting in your car, listening to ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

The acceptance sampling plan (ASP) is a statistical tool used in industry for quality control to determine the quality of products by selecting a specified number for testing in order to accept or ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...

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 ...