Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Matching Component Analysis for Transfer Learning   We introduce a new Procrustes-type method called matching component analysis
to isolate components in data for transfer learning. Our theoretical results
describe the sample complexity of this method, and we demonstrate through
numerical experiments that our approach is indeed well suited for transfer
learning.

0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
3
The categories of this paper are: physics