Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximum-entropy Surrogation in Network Signal Detection   Multiple-channel detection is considered in the context of a sensor network
where raw data are shared only by nodes that have a common edge in the network
graph. Established multiple-channel detectors, such as those based on
generalized coherence or multiple coherence, use pairwise measurements from
every pair of sensors in the network and are thus directly applicable only to
networks whose graphs are completely connected. An approach introduced here
uses a maximum-entropy technique to formulate surrogate values for missing
measurements corresponding to pairs of nodes that do not share an edge in the
network graph. The broader potential merit of maximum-entropy baselines in
quantifying the value of information in sensor network applications is also
noted.

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The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess