Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification based on invisible features and thereby finding the
  effect of tuberculosis vaccine on COVID-19   In the case of clustered data, an artificial neural network with logcosh loss
function learns the bigger cluster rather than the mean of the two. Even more
so, the ANN when used for regression of a set-valued function, will learn a
value close to one of the choices, in other words, it learns one branch of the
set-valued function with high accuracy. This work suggests a method that uses
artificial neural networks with logcosh loss to find the branches of set-valued
mappings in parameter-outcome sample sets and classifies the samples according
to those branches. The method not only classifies the data based on these
branches but also provides an accurate prediction for the majority cluster. The
method successfully classifies the data based on an invisible feature. A neural
network was successfully established to predict the total number of cases, the
logarithmic total number of cases, deaths, active cases and other relevant data
of the coronavirus for each German district from a number of input variables.
As it has been speculated that the Tuberculosis vaccine provides protection
against the virus and since East Germany was vaccinated before reunification,
an attempt was made to classify the Eastern and Western German districts by
considering the vaccine information as an invisible feature.

11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an