Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: My Health Sensor, my Classifier: Adapting a Trained Classifier to
  Unlabeled End-User Data   In this work, we present an approach for unsupervised domain adaptation (DA)
with the constraint, that the labeled source data are not directly available,
and instead only access to a classifier trained on the source data is provided.
Our solution, iteratively labels only high confidence sub-regions of the target
data distribution, based on the belief of the classifier. Then it iteratively
learns new classifiers from the expanding high-confidence dataset. The goal is
to apply the proposed approach on DA for the task of sleep apnea detection and
achieve personalization based on the needs of the patient. In a series of
experiments with both open and closed sleep monitoring datasets, the proposed
approach is applied to data from different sensors, for DA between the
different datasets. The proposed approach outperforms in all experiments the
classifier trained in the source domain, with an improvement of the kappa
coefficient that varies from 0.012 to 0.242. Additionally, our solution is
applied to digit classification DA between three well established digit
datasets, to investigate the generalizability of the approach, and to allow for
comparison with related work. Even without direct access to the source data, it
achieves good results, and outperforms several well established unsupervised DA
methods.

9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom