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pro vyhledávání: '"Bez P"'
Rocky planets in our Solar System, namely Mercury, Venus, Earth, Mars, and the Moon, which is generally added to this group due to its geological complexity, possess a solid surface and share a common structure divided into major layers, namely a sil
Externí odkaz:
http://arxiv.org/abs/2411.10577
Relying substantially on work of Garg, Gurvits, Oliveira and Wigderson, it is shown that geometric Brascamp--Lieb data are, in a certain sense, ubiquitous. This addresses a question raised by Bennett and Tao in their recent work on the adjoint Brasca
Externí odkaz:
http://arxiv.org/abs/2407.21440
"Garbage In Garbage Out" is a universally agreed quote by computer scientists from various domains, including Artificial Intelligence (AI). As data is the fuel for AI, models trained on low-quality, biased data are often ineffective. Computer scienti
Externí odkaz:
http://arxiv.org/abs/2406.19256
High-Performance Computing (HPC) systems excel in managing distributed workloads, and the growing interest in Artificial Intelligence (AI) has resulted in a surge in demand for faster methods of Machine Learning (ML) model training and inference. In
Externí odkaz:
http://arxiv.org/abs/2404.10386
Data are the critical fuel for Artificial Intelligence (AI) models. Poor quality data produces inaccurate and ineffective AI models that may lead to incorrect or unsafe use. Checking for data readiness is a crucial step in improving data quality. Num
Externí odkaz:
http://arxiv.org/abs/2404.05779
Autor:
Chabert-Liddell, Saint-Clair, Bez, Nicolas, Gloaguen, Pierre, Donnet, Sophie, Mahévas, Stéphanie
We propose an innovative and generic methodology to analyse individual and collective behaviour through individual trajectory data. The work is motivated by the analysis of GPS trajectories of fishing vessels collected from regulatory tracking data i
Externí odkaz:
http://arxiv.org/abs/2312.00456
Autor:
Bez, Dominik, Sauer, Jonas
We study journey planning in multimodal networks consisting of public transit plus an unrestricted transfer mode (e.g., walking or cycling). In order to provide good results in practice, algorithms must account for vehicle delays. Delay-responsive al
Externí odkaz:
http://arxiv.org/abs/2310.20554
Autor:
Gebhard, Alexander, Triantafyllopoulos, Andreas, Bez, Teresa, Christ, Lukas, Kathan, Alexander, Schuller, Björn W.
Advances in passive acoustic monitoring and machine learning have led to the procurement of vast datasets for computational bioacoustic research. Nevertheless, data scarcity is still an issue for rare and underrepresented species. This study investig
Externí odkaz:
http://arxiv.org/abs/2309.08398
This note is concerned with Strichartz estimates for the wave equation and orthonormal families of initial data. We provide a survey of the known results and present what seems to be a reasonable conjecture regarding the cases which have been left op
Externí odkaz:
http://arxiv.org/abs/2306.14547
We consider maximal estimates associated with fermionic systems. First we establish maximal estimates with respect to the spatial variable. These estimates are certain boundary cases of the many-body Strichartz estimates pioneered by Frank, Lewin, Li
Externí odkaz:
http://arxiv.org/abs/2306.14536