Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Use of High Dimensional Modeling for automatic variables selection: the
  best path algorithm   This paper presents a new algorithm for automatic variables selection. In
particular, using the Graphical Models properties it is possible to develop a
method that can be used in the contest of large dataset. The advantage of this
algorithm is that can be combined with different forecasting models. In this
research we have used the OLS method and we have compared the result with the
LASSO method.

13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
3
The categories of this paper are: physics