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pro vyhledávání: '"Van Baelen, Quinten"'
Autor:
Van Baelen, Quinten, Karsmakers, Peter
Deploying neural networks on the edge has become increasingly important as deep learning is being applied in an increasing amount of applications. The devices on the edge are typically characterised as having small computational resources as large co
Externí odkaz:
http://arxiv.org/abs/2409.20138
The main goal of machine condition monitoring is, as the name implies, to monitor the condition of industrial applications. The objective of this monitoring can be mainly split into two problems. A diagnostic problem, where normal data should be dist
Externí odkaz:
http://arxiv.org/abs/2409.11807
Autor:
Van Baelen, Quinten, Karsmakers, Peter
Deep learning is typically performed by learning a neural network solely from data in the form of input-output pairs ignoring available domain knowledge. In this work, the Constraint Guided Gradient Descent (CGGD) framework is proposed that enables t
Externí odkaz:
http://arxiv.org/abs/2206.06202
Publikováno v:
Constructive Approximation, 2020 (online first)
We give the asymptotic behavior of the zeros of orthogonal polynomials, after appropriate scaling, for which the orthogonality measure is supported on the $q$-lattice $\{q^k, k=0,1,2,3,\ldots\}$, where $0 < q < 1$. The asymptotic distribution of the
Externí odkaz:
http://arxiv.org/abs/1910.12518
ispartof: Journal of Dynamics, Monitoring and Diagnostics status: accepted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::d938af29378d308b01a094d578498af1
https://lirias.kuleuven.be/handle/20.500.12942/721492
https://lirias.kuleuven.be/handle/20.500.12942/721492
Autor:
Van Assche, Walter1 (AUTHOR) walter.vanassche@kuleuven.be, Van Baelen, Quinten1 (AUTHOR)
Publikováno v:
Constructive Approximation. Aug2021, Vol. 54 Issue 1, p117-144. 28p.
Akademický článek
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