Computer Science – Information Theory
Scientific paper
2005-03-24
Computer Science
Information Theory
Scientific paper
10.1209/epl/i2005-10148-5
An improved inference method for densely connected systems is presented. The approach is based on passing condensed messages between variables, representing macroscopic averages of microscopic messages. We extend previous work that showed promising results in cases where the solution space is contiguous to cases where fragmentation occurs. We apply the method to the signal detection problem of Code Division Multiple Access (CDMA) for demonstrating its potential. A highly efficient practical algorithm is also derived on the basis of insight gained from the analysis.
Neirotti Juan P.
Saad David
No associations
LandOfFree
Improved message passing for inference in densely connected systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Improved message passing for inference in densely connected systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improved message passing for inference in densely connected systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-29189