Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cieliebak, Mark | - |
| dc.date.accessioned | 2018-09-20T13:51:00Z | - |
| dc.date.available | 2018-09-20T13:51:00Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.issn | 0926-4981 | de_CH |
| dc.identifier.issn | 1564-0094 | de_CH |
| dc.identifier.uri | http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/10912 | - |
| dc.language.iso | en | de_CH |
| dc.publisher | European Research Consortium for Informatics and Mathematics | de_CH |
| dc.relation.ispartof | ERCIM News | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.title | Optimising Deep Learning for Infinite Applications in Text Analytics | de_CH |
| dc.type | Beitrag in Magazin oder Zeitung | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.volume | 107 | de_CH |
| zhaw.webfeed | Software Systems | de_CH |
| zhaw.webfeed | Natural Language Processing | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
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Cieliebak, M. (2016). Optimising Deep Learning for Infinite Applications in Text Analytics. ERCIM News, 107. http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf
Cieliebak, M. (2016) ‘Optimising Deep Learning for Infinite Applications in Text Analytics’, ERCIM News, 107. Available at: http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf.
M. Cieliebak, “Optimising Deep Learning for Infinite Applications in Text Analytics,” ERCIM News, vol. 107, 2016, [Online]. Available: http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf
CIELIEBAK, Mark, 2016. Optimising Deep Learning for Infinite Applications in Text Analytics. ERCIM News [online]. 2016. Bd. 107. Verfügbar unter: http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf
Cieliebak, Mark. 2016. “Optimising Deep Learning for Infinite Applications in Text Analytics.” ERCIM News 107. http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf.
Cieliebak, Mark. “Optimising Deep Learning for Infinite Applications in Text Analytics.” ERCIM News, vol. 107, 2016, http://dreamboxx.com/mark/data/ercim_news_107_2016_article.pdf.
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