Zobrazeno 1 - 10
of 1 082
pro vyhledávání: '"P, Csiszár"'
Our main goal in this paper is to quantitatively compare the performance of classical methods to XGBoost and convolutional neural networks in a parameter estimation problem for epidemic spread. As we use flexible two-layer random graphs as the underl
Externí odkaz:
http://arxiv.org/abs/2407.07118
Publikováno v:
BMC Ecology and Evolution, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background We focus on Haldane’s familial selection in monogamous families in a diploid population, where the survival probability of each sibling is determined by altruistic food sharing with its siblings during starvation. An autosomal r
Externí odkaz:
https://doaj.org/article/bd74ceb4d5c343f38d5a37382f8ed8cf
In this paper, we study the spread of a classical SIR process on a two-layer random network, where the first layer represents the households, while the second layer models the contacts outside the households by a random scale-free graph. We build a t
Externí odkaz:
http://arxiv.org/abs/2303.02195
Autor:
Csiszár, Orsolya, Pusztaházi, Luca Sára, Dénes-Fazakas, Lehel, Gashler, Michael S., Kreinovich, Vladik, Csiszár, Gábor
We present a deep learning model for finding human-understandable connections between input features. Our approach uses a parameterized, differentiable activation function, based on the theoretical background of nilpotent fuzzy logic and multi-criter
Externí odkaz:
http://arxiv.org/abs/2205.06547
Autor:
József Garay, Manuel Gámez, Yohan Solano-Rojas, Inmaculada López, Ana Belén Castaño-Fernández, Zoltán Varga, Tamás F. Móri, Villő Csiszár, Tomás Cabello
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Using a recursion model with real parameters of Nabis pseudoferus, we show that its filial cannibalism is an optimal foraging strategy for life reproductive success, but it is not an evolutionarily optimal foraging strategy, since it cannot
Externí odkaz:
https://doaj.org/article/c9c8130d6d3947d3a5f22d155a11fe89
Over the past few years, deep neural networks have shown excellent results in multiple tasks, however, there is still an increasing need to address the problem of interpretability to improve model transparency, performance, and safety. Achieving eXpl
Externí odkaz:
http://arxiv.org/abs/2010.08760
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 2, Pp 647-656 (2024)
We propose a business model (BM) for mobility services based on shared autonomous vehicles (SAVs) anticipating the changes and opportunities for the current shared mobility service companies in updating their BMs to consider the AV technology. We hav
Externí odkaz:
https://doaj.org/article/2761438b5509404fb9be2a8080805c2f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The symbiogenetic origin of eukaryotes with mitochondria is considered a major evolutionary transition. The initial interactions and conditions of symbiosis, along with the phylogenetic affinity of the host, are widely debated. Here, we focu
Externí odkaz:
https://doaj.org/article/910da5cd66324a78b0c7e35163cec713
Publikováno v:
j.knosys.2020
Combining neural networks with continuous logic and multicriteria decision making tools can reduce the black box nature of neural models. In this study, we show that nilpotent logical systems offer an appropriate mathematical framework for a hybridiz
Externí odkaz:
http://arxiv.org/abs/1910.02486
Deep Reinforcement Learning (DRL) methods often rely on the meticulous tuning of hyperparameters to successfully resolve problems. One of the most influential parameters in optimization procedures based on stochastic gradient descent (SGD) is the lea
Externí odkaz:
http://arxiv.org/abs/2008.01171