Literature DB >> 28934334

Correction: Smartphone dependence classification using tensor factorization.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0177629.].

Entities:  

Year:  2017        PMID: 28934334      PMCID: PMC5608411          DOI: 10.1371/journal.pone.0185506

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


There are errors in the Funding section. The publisher apologizes for the errors. The correct funding information is as follows: This research was supported by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2014M3C7A1062893). This work was partly supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. 2014-0-00147, Basic Software Research in Human-level Lifelong Machine Learning (Machine Learning Center)). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
  1 in total

1.  Smartphone dependence classification using tensor factorization.

Authors:  Jingyun Choi; Mi Jung Rho; Yejin Kim; In Hye Yook; Hwanjo Yu; Dai-Jin Kim; In Young Choi
Journal:  PLoS One       Date:  2017-06-21       Impact factor: 3.240

  1 in total

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