Zobrazeno 1 - 10
of 158 673
pro vyhledávání: '"solution space"'
Design and manufacturing of integrated circuits predominantly use a globally distributed semiconductor supply chain involving diverse entities. The modern semiconductor supply chain has been designed to boost production efficiency, but is filled with
Externí odkaz:
http://arxiv.org/abs/2411.07308
Autor:
Morea, Fabio, De Stefano, Domenico
This article explores the importance of examining the solution space in community detection, highlighting its role in achieving reliable results when dealing with real-world problems. A Bayesian framework is used to estimate the stability of the solu
Externí odkaz:
http://arxiv.org/abs/2410.19495
Autor:
Paliathanasis, Andronikos
We review the solution space for the field equations of Einstein's General Relativity for various static, spherically symmetric spacetimes. We consider the vacuum case, represented by the Schwarzschild black hole; the de Sitter-Schwarzschild geometry
Externí odkaz:
http://arxiv.org/abs/2406.01998
Autor:
Appleby, John A. D., Lawless, Emmet
In this article we discuss the requirements needed in order to characterise the solution space of perturbed linear integro-differential Volterra convolution equations. We highlight in general how the pointwise behaviour of perturbation functions does
Externí odkaz:
http://arxiv.org/abs/2407.08416
Autor:
Abramov, Sergei a, Pogudin, Gleb b
Publikováno v:
In Journal of Symbolic Computation March-April 2025 127
Autor:
Appleby, John A. D., Lawless, Emmet
In this article we are concerned with characterising when solutions of perturbed linear stochastic Volterra summation equations are $p$-summable along with when their continuous time counterparts, perturbed linear stochastic Volterra integrodifferent
Externí odkaz:
http://arxiv.org/abs/2407.07767
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Nishiyama, Sota, Ohzeki, Masayuki
The storage capacity of a binary classification model is the maximum number of random input-output pairs per parameter that the model can learn. It is one of the indicators of the expressive power of machine learning models and is important for compa
Externí odkaz:
http://arxiv.org/abs/2404.13404