Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A New Deterministic Technique for Symbolic Regression   This paper describes a new method for Symbolic Regression that allows to find
mathematical expressions from a dataset. This method has a strong mathematical
basis. As opposed to other methods such as Genetic Programming, this method is
deterministic, and does not involve the creation of a population of initial
solutions. Instead of it, a simple expression is being grown until it fits the
data. The experiments performed show that the results are as good as other
Machine Learning methods, in a very low computational time. Another advantage
of this technique is that the complexity of the expressions can be limited, so
the system can return mathematical expressions that can be easily analysed by
the user, in opposition to other techniques like GSGP.

2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph