Efficient Bayesian inference for learning in the Ising linear perceptron and signal detection in CDMA

Juan P. Neirotti and David Saad

Physica A: Statistical Mechanics and its Applications, 2006, vol. 365, issue 1, 203-210

Abstract: Efficient new Bayesian inference technique is employed for studying critical properties of the Ising linear perceptron and for signal detection in code division multiple access (CDMA). The approach is based on a recently introduced message passing technique for densely connected systems. Here we study both critical and non-critical regimes. Results obtained in the non-critical regime give rise to a highly efficient signal detection algorithm in the context of CDMA; while in the critical regime one observes a first-order transition line that ends in a continuous phase transition point. Finite size effects are also studied.

Keywords: Communication theory; Bayesian inference (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:365:y:2006:i:1:p:203-210

DOI: 10.1016/j.physa.2006.01.020

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