Zobrazeno 1 - 10
of 8 624
pro vyhledávání: '"Helder, P."'
This paper demonstrates how to explicitly construct a bidiagonal factorization of the banded recurrence matrix that appears in mixed multiple orthogonality on the step-line in terms of the coeffcients of the mixed multiple orthogonal polynomials. The
Externí odkaz:
http://arxiv.org/abs/2410.15363
In this paper, we introduce generalized dichotomies for nonautonomous random linear dynamical systems acting on arbitrary Banach spaces, and obtain their complete characterization in terms of an appropriate admissibility property. These generalized d
Externí odkaz:
http://arxiv.org/abs/2410.13697
Autor:
Costa, Helder Gomes, Shimoda, Eduardo, Costa, José Fabiano da Serra, Shimoya, Aldo, Eufrazio, Edilvando Pereira
The question that drives this research is: "How to discover the number of respondents that are necessary to validate items of a questionnaire as actually essential to reach the questionnaire's proposal?" Among the efforts in this subject, \cite{Lawsh
Externí odkaz:
http://arxiv.org/abs/2410.11151
Autor:
Bartolome, Macavilca Tello, Fernandez, Kevin, Cutipa-Luque, Oscar, Tiahuallpa, Yhon, Rojas, Helder
This study explores the dynamic relationship between corruption and economic growth through an approach based on a system of stochastic equations. In the context of globalization and economic interdependencies, corruption not only affects investment
Externí odkaz:
http://arxiv.org/abs/2410.08132
Autor:
Roberts, Connor, Zhang, Ziluo, Rojas, Helder, Bo, Stefano, Escudero, Carlos, Guenneau, Sebastien, Pruessner, Gunnar
We present a novel class of cloaking in which a region of space is concealed from an ensemble of diffusing particles whose individual trajectories are governed by a stochastic (Langevin) equation. In particular, we simulate how different interpretati
Externí odkaz:
http://arxiv.org/abs/2410.04124
Group fairness in machine learning is a critical area of research focused on achieving equitable outcomes across different groups defined by sensitive attributes such as race or gender. Federated learning, a decentralized approach to training machine
Externí odkaz:
http://arxiv.org/abs/2410.03855
Autor:
Guzman-Lopez, Rita Rocio, Huamanchumo, Luis, Fernandez, Kevin, Cutipa-Luque, Oscar, Tiahuallpa, Yhon, Rojas, Helder
This study introduces a novel approach that integrates agricultural census data with remotely sensed time series to develop precise predictive models for paddy rice yield across various regions of Peru. By utilizing sparse regression and Elastic-Net
Externí odkaz:
http://arxiv.org/abs/2409.17298
For small perturbations of linear Random Dynamical Systems evolving on a Banach space and exhibiting a generalized form of trichotomy, we prove the existence of invariant center manifolds, both in continuous and discrete-time. Furthermore, we provide
Externí odkaz:
http://arxiv.org/abs/2408.01204
3D human pose estimation aims to reconstruct the human skeleton of all the individuals in a scene by detecting several body joints. The creation of accurate and efficient methods is required for several real-world applications including animation, hu
Externí odkaz:
http://arxiv.org/abs/2407.03817
This paper tackles the challenging problem of output range estimation for Deep Neural Networks (DNNs), introducing a novel algorithm based on Simulated Annealing (SA). Our approach addresses the lack of local geometric information and high non-linear
Externí odkaz:
http://arxiv.org/abs/2407.02700