Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Autoencoding with a Learning Classifier System: Initial Results   Autoencoders enable data dimensionality reduction and a key component of many
(deep) learning systems. This short paper introduces a form of Holland's
Learning Classifier System (LCS) to perform autoencoding building upon a
previously presented form of LCS that utilises unsupervised learning for
clustering. Initial results using a neural network representation suggest it is
an effective approach to reduction.

11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc