Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohamed Nadjib Boufenara"'
Publikováno v:
International Journal of Organizational and Collective Intelligence. 10:50-64
With the exponential growth of biological data, labeling this kind of data becomes difficult and costly. Although unlabeled data are comparatively more plentiful than labeled ones, most supervised learning methods are not designed to use unlabeled da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54690a449022bbfccb64450e60ed4c43
https://doi.org/10.4018/ijoci.2020100104
https://doi.org/10.4018/ijoci.2020100104
Publikováno v:
ICSIM
The exponential growth of available genomic data could allow researchers to examine the relationships between genetic variation and disease development in an individual. Representing this data in multiple formats and several heterogeneous repositorie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bb9bf473b87b7ae12a99280f9a36e38
https://doi.org/10.1145/3451471.3451477
https://doi.org/10.1145/3451471.3451477
Publikováno v:
2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS).
In a data-driven world, semi-supervised learning methods are motivated by the availability of large unlabeled datasets than a small amount of labeled data. However, incorporating unlabeled data into learning does not guarantee an improvement in class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0bb38dfb5440b1101ea923faaa76be8
https://doi.org/10.1109/ictaacs48474.2019.8988116
https://doi.org/10.1109/ictaacs48474.2019.8988116