Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System
  Identification of Underlying Dynamic Equations   Data-driven sparse system identification becomes the general framework for a
wide range of problems in science and engineering. It is a problem of growing
importance in applied machine learning and artificial intelligence algorithms.
In this work, we developed the Entropic Regression Software Package (ERFit), a
MATLAB package for sparse system identification using the entropic regression
method. The code requires minimal supervision, with a wide range of options
that make it adapt easily to different problems in science and engineering. The
ERFit is available at https://github.com/almomaa/ERFit-Package

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The categories of this paper are: physics
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The categories of this paper are: supr-con
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: atom-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: eess
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The categories of this paper are: funct-an
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: adap-org
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat