Explaining Bayesian Networks in natural language: state of the art and challenges
In order to increase trust in the usage of Bayesian Networks and to cement their role as a
model which can aid in critical decision making, the challenge of explainability must be …
model which can aid in critical decision making, the challenge of explainability must be …
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
EP Nyberg, AE Nicholson, KB Korb, M Wybrow… - Risk …, 2022 - Wiley Online Library
In many complex, real‐world situations, problem solving and decision making require
effective reasoning about causation and uncertainty. However, human reasoning in these …
effective reasoning about causation and uncertainty. However, human reasoning in these …
Assessing the capability of ChatGPT, Google Bard, and Microsoft Bing in solving radiology case vignettes
Background The field of radiology relies on accurate interpretation of medical images for
effective diagnosis and patient care. Recent advancements in artificial intelligence (AI) and …
effective diagnosis and patient care. Recent advancements in artificial intelligence (AI) and …
Comparative Analysis of Google AI and Chatbot GPT: A Study on Technological Approaches and Applications
A Albtoush, I Almahasneh - Kurdish Studies, 2024 - kurdishstudies.net
The rapid advancement of artificial intelligence (AI) has brought forth transformative
technologies, and within this realm, con-versational AI models like ChatGPT and Google …
technologies, and within this realm, con-versational AI models like ChatGPT and Google …
[PDF][PDF] Bayesian networks vs. conditional trees for creating questions for forecasting tournaments
R Gruetzemacher - 2022 - bnma.co
We evaluate the strengths and weaknesses of Bayesian networks and a specific subset of
Bayesian networks—conditional trees—for creating questions for forecasting tournaments …
Bayesian networks—conditional trees—for creating questions for forecasting tournaments …