Zobrazeno 1 - 10
of 10 851
pro vyhledávání: '"Cerviño, A."'
Autor:
Ian Smith
Questa corposa e avvincente biografia inedita in Italia ripercorre la vita del grande alpinista ed esploratore Edward Whymper, restituendo a pieno il mondo delle montagne e dei grandi spazi boreali così com'erano all'epoca d'oro dell'alpinismo class
Autor:
Juan Antonio Prieto Sayagués
Publikováno v:
Studia Historica. Historia Medieval, Vol 41, Iss 1, Pp 248-250 (2023)
Externí odkaz:
https://doaj.org/article/7c2d61133d7e47a6a9394ab175742475
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Oquendo, Alessandro Daniele Genuardi, Cerviño, Agustín Matías Galante, Sinha, Nilotpal, Andrea, Luc, Mugel, Sam, Orús, Román
The growing complexity of radar signals demands responsive and accurate detection systems that can operate efficiently on resource-constrained edge devices. Existing models, while effective, often rely on substantial computational resources and large
Externí odkaz:
http://arxiv.org/abs/2412.19585
The multi-objective coverage control problem requires a robot swarm to collaboratively provide sensor coverage to multiple heterogeneous importance density fields (IDFs) simultaneously. We pose this as an optimization problem with constraints and stu
Externí odkaz:
http://arxiv.org/abs/2409.11311
In this paper, we study the generalization capabilities of geometric graph neural networks (GNNs). We consider GNNs over a geometric graph constructed from a finite set of randomly sampled points over an embedded manifold with topological information
Externí odkaz:
http://arxiv.org/abs/2409.05191
Graph neural networks (GNNs) have demonstrated their effectiveness in various tasks supported by their generalization capabilities. However, the current analysis of GNN generalization relies on the assumption that training and testing data are indepe
Externí odkaz:
http://arxiv.org/abs/2408.13878
Training Graph Neural Networks (GNNs) on large graphs presents unique challenges due to the large memory and computing requirements. Distributed GNN training, where the graph is partitioned across multiple machines, is a common approach to training G
Externí odkaz:
http://arxiv.org/abs/2406.17611
Graph Neural Networks (GNNs) extend convolutional neural networks to operate on graphs. Despite their impressive performances in various graph learning tasks, the theoretical understanding of their generalization capability is still lacking. Previous
Externí odkaz:
http://arxiv.org/abs/2406.05225
Autor:
Edmondo De Amicis
Il Giomein è l'unico albergo a disposizione per chi arriva su nell'alta conca del Breuil. È la dimora di avventurieri, sognatori, alpinisti, aristocratici e poeti in cerca di nuovi stati d'animo. Tra questi, l'anziano Edmondo De Amicis, che per sei