Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SMERED: A Bayesian Approach to Graphical Record Linkage and
  De-duplication   We propose a novel unsupervised approach for linking records across
arbitrarily many files, while simultaneously detecting duplicate records within
files. Our key innovation is to represent the pattern of links between records
as a {\em bipartite} graph, in which records are directly linked to latent true
individuals, and only indirectly linked to other records. This flexible new
representation of the linkage structure naturally allows us to estimate the
attributes of the unique observable people in the population, calculate $k$-way
posterior probabilities of matches across records, and propagate the
uncertainty of record linkage into later analyses. Our linkage structure lends
itself to an efficient, linear-time, hybrid Markov chain Monte Carlo algorithm,
which overcomes many obstacles encountered by previously proposed methods of
record linkage, despite the high dimensional parameter space. We assess our
results on real and simulated data.

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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
1
The categories of this paper are: cs
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The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
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The categories of this paper are: dg-ga
18
The categories of this paper are: econ
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The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn