A messaging-passing algorithm known as "belief propagation" can be used to analyze large systems by breaking them down into smaller pieces and ensuring all of the smaller solutions are consistent with each other. To model the spread of disease when people are in close contact, for example, researchers tend to explore infected individuals' network of contacts because they are large systems.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2QCWdNw
Home
machine-learning-ai-news
News on Artificial Intelligence and Machine Learning
Can the 'belief propagation' algorithm accurately describe complex networked systems?
- Blogger Comment
- Facebook Comment
Subscribe to:
Post Comments
(
Atom
)
0 comments:
Post a Comment