Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
The University of Toronto Scarborough, established in 1964, has long been focused on offering innovative and engaging approaches to higher education. The institution prides itself on finding new ways ...
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial Patients with NSCLC completed ...
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: This study introduces a proof-of-concept methodology for utilizing Bayesian Networks to reason over uncertain fusion economics. Using Bayesian networks as a surrogate of a forward model ...
data-background-color: "#f3f4f4" - Are interested or who have heard about Bayesian modeling. - Work in Environmental Health (or adjacent fields). - Have little theoretical or practical experience of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results