Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Frank-Michael Schleif"'
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)
Life science data are often encoded in a non-standard way by means of alpha-numeric sequences, graph representations, numerical vectors of variable length, or other formats. Domain-specific or data-driven similarity measures like alignment functions
Externí odkaz:
https://doaj.org/article/68ae943703544b538c2814e4349331db
Publikováno v:
Neurocomputing. 506:418-429
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234798
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21123c276d2371f99fe50cb9882a3708
https://doi.org/10.1007/978-3-031-23480-4_8
https://doi.org/10.1007/978-3-031-23480-4_8
In recent years the applications of machine learning models have increased rapidly, due to the large amount of available data and technological progress.While some domains like web analysis can benefit from this with only minor restrictions, other fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a442da1f2935ec7c810a79a18174924e
http://arxiv.org/abs/2212.11729
http://arxiv.org/abs/2212.11729
Publikováno v:
Evolving Systems. 13:387-401
In recent years social media became an important part of everyday life for many people. A big challenge of social media is, to find posts, that are interesting for the user. Many social networks like Twitter handle this problem with so-called hashtag
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
Neurocomputing. 416:340-351
The amount of real-time communication between agents in an information system has increased rapidly since the beginning of the decade. This is because the use of these systems, e.g. social media, has become commonplace in today’s society. This requ
Publikováno v:
ESANN 2022 proceedings.
Publikováno v:
Neural Computing and Applications. 34:89-100
Concept drift is a change of the underlying data distribution which occurs especially with streaming data. Besides other challenges in the field of streaming data classification, concept drift has to be addressed to obtain reliable predictions. Robus
Autor:
Christoph Raab, Frank-Michael Schleif
Publikováno v:
Neurocomputing. 397:320-330
Transfer learning is focused on the reuse of supervised learning models in a new context. Prominent applications can be found in robotics, image processing or web mining. In these fields, the learning scenarios are naturally changing but often remain