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691 to 700 of 706 Results
.Rhistory
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
Unknown - 30.5 KB - MD5: 6fcd3c7fb535999b2e1862d288ed03c2
rollen.R
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
R Syntax - 2.5 KB - MD5: 077544ed927c2d360271e4d95fcef351
stichprobe-definitheit.R
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
R Syntax - 2.1 KB - MD5: 5a906d756f17b31876bf000e8cefb714
stichprobe-NP-Struktur.R
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
R Syntax - 9.0 KB - MD5: 9857c3863aa719eea4ab11c195b4d2ef
tatian-anfangszeit.csv
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
Comma Separated Values - 12.1 MB - MD5: c98081f133eb6ef519153eb140ee6f87
tatian-anno2.csv
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
Comma Separated Values - 6.3 MB - MD5: 2cfc4c69184d4a3ee425e718e0505760
tatian-annotiert.csv
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
Comma Separated Values - 7.5 MB - MD5: 5d5ac87de582018cc1b6729bbdbc33e4
tokenanzahl.R
Sep 8, 2020 - Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung
R Syntax - 311 B - MD5: 58e3c1c699c53e6c94c712a20e0ca938
Replication Data for: Auroral Image Classification with Deep Neural Networks
Apr 14, 2020 - UiT The Arctic University of Norway
Kvammen, Andreas; Wickstrøm, Kristoffer; McKay, Derek; Partamies, Noora, 2020, "Replication Data for: Auroral Image Classification with Deep Neural Networks", https://doi.org/10.18710/SSA38J, DataverseNO, V3
Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statis...
00_ReadMe.txt
Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
Plain Text - 4.6 KB - MD5: 6c25a3fdae5cc8db0938a055991b217e
ReadMe file where dataset and the files in repository is described.
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