Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Recent advances in machine learning for non-Gaussian data processing
Show others and affiliations
2018 (English)In: Neurocomputing, ISSN 0925-2312, E-ISSN 1872-8286, Vol. 278, p. 1-3Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 278, p. 1-3
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-223256DOI: 10.1016/j.neucom.2017.09.002ISI: 000423965000001OAI: oai:DiVA.org:kth-223256DiVA, id: diva2:1183722
Note

QC 20180219

Available from: 2018-02-19 Created: 2018-02-19 Last updated: 2018-02-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Xiao, Ming

Search in DiVA

By author/editor
Xiao, Ming
By organisation
Information Science and Engineering
In the same journal
Neurocomputing
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 6 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf