Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NILM as a regression versus classification problem: the importance of
  thresholding   Non-Intrusive Load Monitoring (NILM) aims to predict the status or
consumption of domestic appliances in a household only by knowing the
aggregated power load. NILM can be formulated as regression problem or most
often as a classification problem. Most datasets gathered by smart meters allow
to define naturally a regression problem, but the corresponding classification
problem is a derived one, since it requires a conversion from the power signal
to the status of each device by a thresholding method. We treat three different
thresholding methods to perform this task, discussing their differences on
various devices from the UK-DALE dataset. We analyze the performance of deep
learning state-of-the-art architectures on both the regression and
classification problems, introducing criteria to select the most convenient
thresholding method.

21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas