Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bridging belief function theory to modern machine learning   Machine learning is a quickly evolving field which now looks really different
from what it was 15 years ago, when classification and clustering were major
issues. This document proposes several trends to explore the new questions of
modern machine learning, with the strong afterthought that the belief function
framework has a major role to play.

36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th