Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling Light Curves for Improved Classification   Many synoptic surveys are observing large parts of the sky multiple times.
The resulting lightcurves provide a wonderful window to the dynamic nature of
the universe. However, there are many significant challenges in analyzing these
light curves. These include heterogeneity of the data, irregularly sampled
data, missing data, censored data, known but variable measurement errors, and
most importantly, the need to classify in astronomical objects in real time
using these imperfect light curves. We describe a modeling-based approach using
Gaussian process regression for generating critical measures representing
features for the classification of such lightcurves. We demonstrate that our
approach performs better by comparing it with past methods. Finally, we provide
future directions for use in sky-surveys that are getting even bigger by the
day.

32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga