Submission information
Submission Number: 161
Submission ID: 3852
Submission UUID: 5f7863fc-31a2-4034-a0ed-09a42f1785af
Submission URI: /form/resource
Created: Thu, 07/20/2023 - 12:59
Completed: Thu, 07/20/2023 - 12:59
Changed: Fri, 03/14/2025 - 11:43
Remote IP address: 73.243.81.95
Submitted by: Ofer Dagan
Language: English
Is draft: No
Webform: Knowledge Base Resources
Approved: Yes
Title: A visual introduction to Gaussian Belief Propagation
Category: Website
Skill Level:
Beginner (304), Intermediate (305)
Description:
This website is an interactive introduction to Gaussian Belief Propagation
(GBP). A probabilistic inference algorithm that operates by passing messages
between the nodes of arbitrarily structured factor graphs. A special case of
loopy belief propagation, GBP updates rely only on local information and will
converge independently of the message schedule. The key argument is that,
given recent trends in computing hardware, GBP has the right computational
properties to act as a scalable distributed probabilistic inference framework
for future machine learning systems.
Link to Resource:
- https://gaussianbp.github.io/ ()
Tags:
ai (271), machine-learning (272)
Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)
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