Erratum to: A survey of machine learning for big data processing

2 downloads 12502 Views 830KB Size Report
for big data processing. Junfei Qiu, Qihui Wu, Guoru Ding*, Yuhua Xu and Shuo Feng. Erratum. Unfortunately, the original version of this article [1] con- tained an ...
Qiu et al. EURASIP Journal on Advances in Signal Processing (2016) 2016:85 DOI 10.1186/s13634-016-0382-7

EURASIP Journal on Advances in Signal Processing

ERRATUM

Open Access

Erratum to: A survey of machine learning for big data processing Junfei Qiu, Qihui Wu, Guoru Ding*, Yuhua Xu and Shuo Feng Erratum Unfortunately, the original version of this article [1] contained an error. Figure 4 cited references [14], [121], [120] and [122] when it should have cited [14], [111], [110] and [112]. Figure 4 has been corrected in the original version of the article and is also correctly included in this erratum.

Fig. 4 Connection of machine learning with SP techniques for big data from different perspectives

* Correspondence: [email protected] College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Qiu et al. EURASIP Journal on Advances in Signal Processing (2016) 2016:85

Page 2 of 2

Received: 22 July 2016 Accepted: 22 July 2016 References 1. Qiu J, Wu Q, Ding G, Xu Y, Feng S, A survey of machine learning for big data processing. EURASIP J Adv Signal Process 2016(67) (2016). doi:10.1186/ s13634-016-0355-x.

Submit your manuscript to a journal and benefit from: 7 Convenient online submission 7 Rigorous peer review 7 Immediate publication on acceptance 7 Open access: articles freely available online 7 High visibility within the field 7 Retaining the copyright to your article

Submit your next manuscript at 7 springeropen.com