ABSTRACT: This is the first paper to be written on the theory of structural learning. The first section outlines the overall concept; the second section proposes the logical universe as the ...
Donald Trump signed executive orders from the Oval Office several weeks ago in September. During Q&A with the press, Trump hypocritically lectured reporters, demanding that they "have to show honesty" ...
This repository contains lecture materials for a one-hour introduction to Simulation-Based Inference (SBI) in cosmology, presented at the Les Houches Summer School on Dark Universe at the Les Houches ...
Gut bacteria are known to be a key factor in many health-related concerns. However, the number and variety of them is vast, as are the ways in which they interact with the body's chemistry and each ...
Abstract: Assessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties. Most previous studies on gas ...
Abstract: This study presents a novel variational framework for structural learning in Bayesian networks (BNs), addressing the key limitation of existing Bayesian methods: their lack of scalability to ...
Background: Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex ...
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