2018 IEEE Statistical Signal Processing Workshop (SSP) 2018
DOI: 10.1109/ssp.2018.8450824
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An Adaptive Learning Approach To Parameter Estimation For Hybrid Petri Nets In Systems Biology

Peter Vieting
1
,
Rodrigo C. de Lamare
2
,
Lukas Märtin
3
et al.
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Cited by 3 publications
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Likelihood-Based Adaptive Learning in Stochastic State-Based Models

Vieting
1
,
Lamare
2
,
Märtin
3
et al. 2019
IEEE Signal Process. Lett.
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Likelihood-Based Adaptive Learning in Stochastic State-Based Models

Vieting
1
,
Lamare
2
,
Märtin
3
et al. 2019
IEEE Signal Process. Lett.
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1
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Incremental Parameter Estimation of Stochastic State-Based Models

Lipp
1
,
Schmeink
2
,
Dartmann
3
et al. 2021
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)
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Estimation of Kinetic Parameters in Stochastic Biomedical Models Using Estimation Theory

Schuck
1
,
Lipp
2
,
Fazlic
3
et al. 2021
2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY)
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