Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Auto-CASH: Autonomous Classification Algorithm Selection with Deep
  Q-Network   The great amount of datasets generated by various data sources have posed the
challenge to machine learning algorithm selection and hyperparameter
configuration. For a specific machine learning task, it usually takes domain
experts plenty of time to select an appropriate algorithm and configure its
hyperparameters. If the problem of algorithm selection and hyperparameter
optimization can be solved automatically, the task will be executed more
efficiently with performance guarantee. Such problem is also known as the CASH
problem. Early work either requires a large amount of human labor, or suffers
from high time or space complexity. In our work, we present Auto-CASH, a
pre-trained model based on meta-learning, to solve the CASH problem more
efficiently. Auto-CASH is the first approach that utilizes Deep Q-Network to
automatically select the meta-features for each dataset, thus reducing the time
cost tremendously without introducing too much human labor. To demonstrate the
effectiveness of our model, we conduct extensive experiments on 120 real-world
classification datasets. Compared with classical and the state-of-art CASH
approaches, experimental results show that Auto-CASH achieves better
performance within shorter time.

22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat