Zobrazeno 1 - 10
of 504
pro vyhledávání: '"credal set"'
Credal sets are sets of probability distributions that are considered as candidates for an imprecisely known ground-truth distribution. In machine learning, they have recently attracted attention as an appealing formalism for uncertainty representati
Externí odkaz:
http://arxiv.org/abs/2402.10723
Autor:
Wang, Kaizheng, Shariatmadar, Keivan, Manchingal, Shireen Kudukkil, Cuzzolin, Fabio, Moens, David, Hallez, Hans
Uncertainty estimation is increasingly attractive for improving the reliability of neural networks. In this work, we present novel credal-set interval neural networks (CreINNs) designed for classification tasks. CreINNs preserve the traditional inter
Externí odkaz:
http://arxiv.org/abs/2401.05043
Adequate uncertainty representation and quantification have become imperative in various scientific disciplines, especially in machine learning and artificial intelligence. As an alternative to representing uncertainty via one single probability meas
Externí odkaz:
http://arxiv.org/abs/2306.09586
Conference
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Autor:
Karlsson, Alexander
High-level information fusion is a research field in which methods for achieving an overall understanding of the current situation in an environment of interest are studied. The ultimate goal of these methods is to provide effective decision-support
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-11664
Autor:
Bronevich, Andrey G.1 (AUTHOR) brone@mail.ru, Rozenberg, Igor N.2 (AUTHOR)
Publikováno v:
International Journal of General Systems. Jan2018, Vol. 47 Issue 1, p67-96. 30p.
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642140549
IPMU (1)
IPMU (1)
We are interested in whether or not there exist any advantages of utilizing credal set theory for the discrete state estimation problem. We present an experiment where we compare in total six different methods, three based on Bayesian theory and thre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f16d7f100c77a9d69f05ef3641c72bb0
https://doi.org/10.1007/978-3-642-14055-6_9
https://doi.org/10.1007/978-3-642-14055-6_9
Akademický článek
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Autor:
Karlsson, Alexander
The goal of high-level information fusion is to provide effective decision-support regarding situations, e.g., relations between events. One of the main ways that has been proposed in order to achieve this is to reduce uncertainty regarding the situa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0d39350fe9c185c5c815a875dacb8e6a
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3974
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3974
Conference
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