Akin to human transfer of experiences, transfer learning as a subfield of machine learning adapts knowledge acquired in one domain to a new domain. The authors systematically investigate how this concept might be applied to the study of users on emerging Web platforms, proposing a transfer learning–based approach, TraNet.
%0 Journal Article
%1 sun2018understanding
%A Sun, Jun
%A Staab, Steffen
%A Kunegis, Jérôme
%D 2018
%I IEEE
%J Computer
%K 2018-06 machine-learning myown network staab west.uni-koblenz.de yfiua
%N 6
%P 52-60
%R 10.1109/MC.2018.2701640
%T Understanding Social Networks Using Transfer Learning
%U https://ieeexplore.ieee.org/abstract/document/8395138/
%V 51
%X Akin to human transfer of experiences, transfer learning as a subfield of machine learning adapts knowledge acquired in one domain to a new domain. The authors systematically investigate how this concept might be applied to the study of users on emerging Web platforms, proposing a transfer learning–based approach, TraNet.
@article{sun2018understanding,
abstract = {Akin to human transfer of experiences, transfer learning as a subfield of machine learning adapts knowledge acquired in one domain to a new domain. The authors systematically investigate how this concept might be applied to the study of users on emerging Web platforms, proposing a transfer learning–based approach, TraNet.},
added-at = {2018-07-01T09:55:47.000+0200},
author = {Sun, Jun and Staab, Steffen and Kunegis, Jérôme},
biburl = {https://www.bibsonomy.org/bibtex/275e073642716c6279b52943562411189/yfiua},
doi = {10.1109/MC.2018.2701640},
ee = {http://doi.ieeecomputersociety.org/10.1109/MC.2018.2701640},
interhash = {3fc4b08f0c67bd31a7c3da96604eb5df},
intrahash = {75e073642716c6279b52943562411189},
issn = {0018-9162},
journal = {Computer},
keywords = {2018-06 machine-learning myown network staab west.uni-koblenz.de yfiua},
month = {June},
number = 6,
pages = {52-60},
publisher = {IEEE},
timestamp = {2018-07-01T10:17:53.000+0200},
title = {Understanding Social Networks Using Transfer Learning},
type = {Publication},
url = {https://ieeexplore.ieee.org/abstract/document/8395138/},
volume = 51,
year = 2018
}