Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A dependent partition-valued process for multitask clustering and time
  evolving network modelling   The fundamental aim of clustering algorithms is to partition data points. We
consider tasks where the discovered partition is allowed to vary with some
covariate such as space or time. One approach would be to use
fragmentation-coagulation processes, but these, being Markov processes, are
restricted to linear or tree structured covariate spaces. We define a
partition-valued process on an arbitrary covariate space using Gaussian
processes. We use the process to construct a multitask clustering model which
partitions datapoints in a similar way across multiple data sources, and a time
series model of network data which allows cluster assignments to vary over
time. We describe sampling algorithms for inference and apply our method to
defining cancer subtypes based on different types of cellular characteristics,
finding regulatory modules from gene expression data from multiple human
populations, and discovering time varying community structure in a social
network.

33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph