Zobrazeno 1 - 10
of 864
pro vyhledávání: '"WIRTH, CHRISTIAN"'
Autor:
Kambach, Stephan, Condit, Richard, Aguilar, Salomon, Bruelheide, Helge, Bunyavejchewin, Sarayudh, Chang-Yang, Chia-Hao, Chen, Yu-Yun, Chuyong, George, Davies, Stuart J., Ediriweera, Sisira, Ewango, Corneille E.N., Fernando, Edwino S., Gunatilleke, Nimal, Gunatilleke, Savitri, Hubbell, Stephen P., Itoh, Akira, Kenfack, David, Kiratiprayoon, Somboon, Lin, Yi-Ching, Makana, Jean-Remy, Mohamad, Mohizah Bt., Pongpattananurak, Nantachai, Perez, Rolando, Rodriguez, Lillian Jennifer V., Sun, I-Fang, Tan, Sylvester, Thomas, Duncan, Thompson, Jill, Uriarte, Maria, Valencia, Renato, Wirth, Christian, Wright, S. Joseph, Wu, Shu-Hui, Yamakura, Takuo, Yao, Tze Leong, Zimmerman, Jess, Rüger, Nadja
1. Organisms of all species must balance their allocation to growth, survival and recruitment. Among tree species, evolution has resulted in different life-history strategies for partitioning resources to these key demographic processes.Life-history
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A88850
https://ul.qucosa.de/api/qucosa%3A88850/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A88850/attachment/ATT-0/
Autor:
Volf, Martin, Volfová, Tereza, Seifert, Carlo L., Ludwig, Antonia, Engelmann, Rolf A., Jorge, Leonardo Ré, Richter, Ronny, Schedl, Andreas, Weinhold, Alexander, Wirth, Christian, van Dam, Nicole M.
Forest canopies are complex and highly diverse environments. Their diversity is affected by pronounced gradients in abiotic and biotic conditions, including variation in leaf chemistry. We hypothesised that branch-localised defence induction and vert
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A86427
https://ul.qucosa.de/api/qucosa%3A86427/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A86427/attachment/ATT-0/
Autor:
Langer, Lars, Burghardt, Manuel, Borgards, Roland, Böhning-Gaese, Katrin, Seppelt, Ralf, Wirth, Christian
Nature's non-material contributions to people are difficult to quantify and one aspect in particular, nature's contributions to communication (NCC), has so far been neglected. Recent advances in automated language processing tools enable us to quanti
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A91725
https://ul.qucosa.de/api/qucosa%3A91725/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A91725/attachment/ATT-0/
Publikováno v:
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1890-1900, 2024
Object detectors in real-world applications often fail to detect objects due to varying factors such as weather conditions and noisy input. Therefore, a process that mitigates false detections is crucial for both safety and accuracy. While uncertaint
Externí odkaz:
http://arxiv.org/abs/2404.17427
Prior parameter distributions provide an elegant way to represent prior expert and world knowledge for informed learning. Previous work has shown that using such informative priors to regularize probabilistic deep learning (DL) models increases their
Externí odkaz:
http://arxiv.org/abs/2403.11966
In industry, Bayesian optimization (BO) is widely applied in the human-AI collaborative parameter tuning of cyber-physical systems. However, BO's solutions may deviate from human experts' actual goal due to approximation errors and simplified objecti
Externí odkaz:
http://arxiv.org/abs/2401.13334
Publikováno v:
T. Köhler & N. Kahnwald (Hrsg.), Communities in New Media: Virtual Enterprises, Research Communities & Social Media Networks: 15. Workshop GeNeMe ’12 Gemeinschaften in Neuen Medien, Dresden: TUDpress. :259-272
In the emerging Web of Data, publishing stable and unique identifiers promises great potential in using the web as common platform to discover and enrich data in the ecologic sciences. With our collaborative e-Science platform “BEFdata”, we gener
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A26352
https://tud.qucosa.de/api/qucosa%3A26352/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A26352/attachment/ATT-0/
Robustly and accurately localizing objects in real-world environments can be challenging due to noisy data, hardware limitations, and the inherent randomness of physical systems. To account for these factors, existing works estimate the aleatoric unc
Externí odkaz:
http://arxiv.org/abs/2306.08981