Zobrazeno 1 - 10
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pro vyhledávání: '"Kronberger, A"'
Symbolic regression is a machine learning method with the goal to produce interpretable results. Unlike other machine learning methods such as, e.g. random forests or neural networks, which are opaque, symbolic regression aims to model and map data i
Externí odkaz:
http://arxiv.org/abs/2406.03585
Autor:
Kronberger, Gabriel, de Franca, Fabricio Olivetti, Desmond, Harry, Bartlett, Deaglan J., Kammerer, Lukas
We analyse the search behaviour of genetic programming for symbolic regression in practically relevant but limited settings, allowing exhaustive enumeration of all solutions. This enables us to quantify the success probability of finding the best pos
Externí odkaz:
http://arxiv.org/abs/2404.17292
Autor:
Bartlett, Deaglan J., Kammerer, Lukas, Kronberger, Gabriel, Desmond, Harry, Ferreira, Pedro G., Wandelt, Benjamin D., Burlacu, Bogdan, Alonso, David, Zennaro, Matteo
Publikováno v:
A&A 686, A209 (2024)
Computing the matter power spectrum, $P(k)$, as a function of cosmological parameters can be prohibitively slow in cosmological analyses, hence emulating this calculation is desirable. Previous analytic approximations are insufficiently accurate for
Externí odkaz:
http://arxiv.org/abs/2311.15865
People with diabetes must carefully monitor their blood glucose levels, especially after eating. Blood glucose regulation requires a proper combination of food intake and insulin boluses. Glucose prediction is vital to avoid dangerous post-meal compl
Externí odkaz:
http://arxiv.org/abs/2307.01238
Reconfigurable Intelligent Surfaces (RIS) have been identified as a potential ingredient to enhance the performance of contemporary wireless communication and sensing systems. Yet, most of the existing devices are either costly or not available for r
Externí odkaz:
http://arxiv.org/abs/2307.06868
Autor:
Li, Guyue, Staat, Paul, Li, Haoyu, Heinrichs, Markus, Zenger, Christian, Kronberger, Rainer, Elders-Boll, Harald, Paar, Christof, Hu, Aiqun
Channel Reciprocity-based Key Generation (CRKG) exploits reciprocal channel randomness to establish shared secret keys between wireless terminals. This new security technique is expected to complement existing cryptographic techniques for secret key
Externí odkaz:
http://arxiv.org/abs/2303.07015
Autor:
Kronberger, Alisa
Diffraktionsereignisse handeln im Kern von einem affektiv durchtränkten Zustande-Kommen eines komplexen, performativen Relationsmoments. Aus einer neo-materialistischen Perspektive spürt Alisa Kronberger dieses Phänomen in der feministischen Gegen
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/53941
We describe an approach for empirical modeling of steel phase kinetics based on symbolic regression and genetic programming. The algorithm takes processed data gathered from dilatometer measurements and produces a system of differential equations tha
Externí odkaz:
http://arxiv.org/abs/2212.10284
Autor:
Poledniczek, Michael1 (AUTHOR) michael.poledniczek@meduniwien.ac.at, Kronberger, Christina1 (AUTHOR), List, Luca1 (AUTHOR), Gregshammer, Bernhard1 (AUTHOR), Willixhofer, Robin1 (AUTHOR), Ermolaev, Nikita1 (AUTHOR), Duca, Franz1 (AUTHOR), Binder, Christina1 (AUTHOR), Rettl, René1 (AUTHOR), Badr Eslam, Roza1 (AUTHOR), Camuz Ligios, Luciana1 (AUTHOR), Nitsche, Christian1 (AUTHOR), Hengstenberg, Christian1 (AUTHOR), Kastner, Johannes1 (AUTHOR), Bergler-Klein, Jutta1 (AUTHOR), Kammerlander, Andreas Anselm1 (AUTHOR) andreas.kammerlander@meduniwien.ac.at
Publikováno v:
Journal of Clinical Medicine. Oct2024, Vol. 13 Issue 19, p5875. 13p.
Publikováno v:
In: Moreno-Diaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory EUROCAST 2022. Lecture Notes in Computer Science, vol 13789
Describing dynamic medical systems using machine learning is a challenging topic with a wide range of applications. In this work, the possibility of modeling the blood glucose level of diabetic patients purely on the basis of measured data is describ
Externí odkaz:
http://arxiv.org/abs/2209.13852