Zobrazeno 1 - 10
of 193
pro vyhledávání: '"ANDRÁS, TELCS"'
Autor:
Kelen, András
Publikováno v:
Acta Oeconomica, 2006 Jun 01. 56(2), 227-234.
Externí odkaz:
https://www.jstor.org/stable/40729756
Autor:
Zoltán Somogyvári, Marcell Stippinger, Zsigmond Benkő, Ádám Zlatniczky, Attila Bencze, Kinga Moldován, Katalin Szádeczky-Kardoss, Sándor Borbély, Ildikó Világi, András Telcs
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S800- (2023)
Externí odkaz:
https://doaj.org/article/cc6f49d22aff422ca160c9204e0e535d
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-31 (2022)
Abstract The ERASMUS program is the most extensive cooperation network of European higher education institutions. The network involves 90% of European universities and hundreds of thousands of students. The allocated money and number of travelers in
Externí odkaz:
https://doaj.org/article/e841f32ae117494f97c27b83f70fd364
Publikováno v:
Entropy, Vol 26, Iss 3, p 185 (2024)
We explore formal similarities and mathematical transformation formulas between general trace-form entropies and the Gini index, originally used in quantifying income and wealth inequalities. We utilize the notion of gintropy introduced in our earlie
Externí odkaz:
https://doaj.org/article/f5baaa715cfd426490e02a7f43650eec
Autor:
Zsolt Tibor Kosztyán, Vivien Valéria Csányi, Zsuzsanna Banász, Ákos Jakobi, Ildikó Neumanné-Virág, András Telcs
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-30 (2021)
Abstract The role of higher education in social and spatial mobility has attracted considerable attention. However, there are very few countrywide databases that follow the career paths of graduates from their place of birth, through their enrollment
Externí odkaz:
https://doaj.org/article/6bea43c915d040f299bc7d5344319eb4
Autor:
Zsigmond Benkő, Marcell Stippinger, Roberta Rehus, Attila Bencze, Dániel Fabó, Boglárka Hajnal, Loránd G. Eröss, András Telcs, Zoltán Somogyvári
Publikováno v:
PeerJ Computer Science, Vol 8, p e790 (2022)
Data dimensionality informs us about data complexity and sets limit on the structure of successful signal processing pipelines. In this work we revisit and improve the manifold adaptive Farahmand-Szepesvári-Audibert (FSA) dimension estimator, making
Externí odkaz:
https://doaj.org/article/7e962ab5b28c42f0a3c14b69bfc8eb13
Publikováno v:
Mathematics, Vol 11, Iss 4, p 852 (2023)
Our proposed method for exploring the causal discovery of stochastic dynamic systems is designed to overcome the limitations of existing methods in detecting hidden and common drivers. The method is based on a simple principle and is presented in a n
Externí odkaz:
https://doaj.org/article/15f44dcee7cb401ebc98bcaba26de0ff
Autor:
Antal Jakovác, András Telcs
Publikováno v:
Entropy, Vol 24, Iss 9, p 1313 (2022)
In this paper, we explore a new approach in which understanding is interpreted as a set representation. We prove that understanding/representation, finding the appropriate coordination of data, is equivalent to finding the minimum of the representati
Externí odkaz:
https://doaj.org/article/89c272c28d664065b06d95315f6a6a5f
Autor:
Georges Haour
Publikováno v:
R&D Management. 36:465-465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0782f7cc41d6495671fddbb1e8cb79
https://doi.org/10.1111/j.1467-9310.2006.00447_1.x
https://doi.org/10.1111/j.1467-9310.2006.00447_1.x
Publikováno v:
Entropy, Vol 24, Iss 3, p 407 (2022)
We consider an entropic distance analog quantity based on the density of the Gini index in the Lorenz map, i.e., gintropy. Such a quantity might be used for pairwise mapping and ranking between various countries and regions based on income and wealth
Externí odkaz:
https://doaj.org/article/b42069820daa4b44b5a430b4823d43bd