Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Efficient Bayesian Inference for Learning in the Ising Linear Perceptron
  and Signal Detection in CDMA   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.

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The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
1
The categories of this paper are: cs
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int