Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Shedding Light on the Asymmetric Learning Capability of AdaBoost   In this paper, we propose a different insight to analyze AdaBoost. This
analysis reveals that, beyond some preconceptions, AdaBoost can be directly
used as an asymmetric learning algorithm, preserving all its theoretical
properties. A novel class-conditional description of AdaBoost, which models the
actual asymmetric behavior of the algorithm, is presented.

37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph