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Open Access

Correction

Correction: Smartphone dependence classification using tensor factorization

  • The PLOS ONE Staff

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.

Reference

  1. 1. Choi J, Rho MJ, Kim Y, Yook IH, Yu H, Kim D-J, et al. (2017) Smartphone dependence classification using tensor factorization. PLoS ONE 12(6): e0177629. https://doi.org/10.1371/journal.pone.0177629 pmid:28636614

Citation: The PLOS ONE Staff (2017) Correction: Smartphone dependence classification using tensor factorization. PLoS ONE 12(9): e0185506. https://doi.org/10.1371/journal.pone.0185506

Published: September 21, 2017

Copyright: © 2017 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.