Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Evolutionary Multitasking AUC Optimization   Learning to optimize the area under the receiver operating characteristics
curve (AUC) performance for imbalanced data has attracted much attention in
recent years. Although there have been several methods of AUC optimization,
scaling up AUC optimization is still an open issue due to its pairwise learning
style. Maximizing AUC in the large-scale dataset can be considered as a
non-convex and expensive problem. Inspired by the characteristic of pairwise
learning, the cheap AUC optimization task with a small-scale dataset sampled
from the large-scale dataset is constructed to promote the AUC accuracy of the
original, large-scale, and expensive AUC optimization task. This paper develops
an evolutionary multitasking framework (termed EMTAUC) to make full use of
information among the constructed cheap and expensive tasks to obtain higher
performance. In EMTAUC, one mission is to optimize AUC from the sampled
dataset, and the other is to maximize AUC from the original dataset. Moreover,
due to the cheap task containing limited knowledge, a strategy for dynamically
adjusting the data structure of inexpensive tasks is proposed to introduce more
knowledge into the multitasking AUC optimization environment. The performance
of the proposed method is evaluated on a series of binary classification
datasets. The experimental results demonstrate that EMTAUC is highly
competitive to single task methods and online methods. Supplementary materials
and source code implementation of EMTAUC can be accessed at
https://github.com/xiaofangxd/EMTAUC.

31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an