Ansätze zur lokalen Bayes'schen Fusion von Informationsbeiträgen heterogener Quellen
The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically...
I tiakina i:
Kaituhi matua: | Sander, Jennifer (auth) |
---|---|
Hōputu: | Tāhiko Wāhanga pukapuka |
I whakaputaina: |
Karlsruhe
KIT Scientific Publishing
2021
|
Rangatū: | Karlsruher Schriften zur Anthropomatik
45 |
Ngā marau: | |
Urunga tuihono: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Ngā tūemi rite
-
Ansätze zur lokalen Bayes'schen Fusion von Informationsbeiträgen heterogener Quellen
mā: Sander, Jennifer
I whakaputaina: (2021) -
World Modeling for Intelligent Autonomous Systems
mā: Belkin, Andrey
I whakaputaina: (2017) -
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
mā: Huber, Marco
I whakaputaina: (2015) -
Contingent Valuation Daten und Bayes'sche Verfahren Ein Vorschlag zur Verbesserung von Umweltbewertung und Nutzentransfer
mā: Lehr, Ulrike
I whakaputaina: (2018) -
Contingent Valuation Daten und Bayes'sche Verfahren Ein Vorschlag zur Verbesserung von Umweltbewertung und Nutzentransfer
mā: Lehr, Ulrike
I whakaputaina: (2018)