Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Fazekas, István"'
Autor:
Fazekas, István, Balla, Dániel, Benkhard, Borbála, Csorba, Péter, Kiss, Emőke, Mester, Tamás, Szabó, György, Vasvári, Mária
Publikováno v:
Modern Geográfia, Vol 18, Iss 3, Pp 87-104 (2023)
Attila Kerényi, Professor of Geography, was born in 1943 in Sátoraljaújhely. He earned a degree as a teacher of Geography and Biology in 1967. During the 1980s, he gained national and international scientific recognition for his research on soil e
Externí odkaz:
https://doaj.org/article/89f35788132d42dbaeae9d5da4bf964c
In this paper, sequences of trials having three outcomes are studied. The outcomes are labelled as success, failure of type I and failure of type II. A run is called at most 1+1 contaminated, if it contains at most 1 failure of type I and at most 1 f
Externí odkaz:
http://arxiv.org/abs/2309.11602
We study the length of $T$-contaminated runs of heads in the well-known coin tossing experiment. A $T$-contaminated run of heads is a sequence of consecutive heads interrupted by $T$ tails. For $T=1$ and $T=2$ we find the asymptotic distribution for
Externí odkaz:
http://arxiv.org/abs/2302.06657
Autor:
Akrout, Mohamed, Gyepesi, Bálint, Holló, Péter, Poór, Adrienn, Kincső, Blága, Solis, Stephen, Cirone, Katrina, Kawahara, Jeremy, Slade, Dekker, Abid, Latif, Kovács, Máté, Fazekas, István
Despite continued advancement in recent years, deep neural networks still rely on large amounts of training data to avoid overfitting. However, labeled training data for real-world applications such as healthcare is limited and difficult to access gi
Externí odkaz:
http://arxiv.org/abs/2301.04802
Publikováno v:
Modern Stochastics: Theory and Applications 2019, Vol. 6, No. 3, 311-331
Taylor's power law states that the variance function decays as a power law. It is observed for population densities of species in ecology. For random networks another power law, that is, the power law degree distribution is widely studied. In this pa
Externí odkaz:
http://arxiv.org/abs/2001.03023
A new network evolution model is introduced in this paper. The model is based on co-operations of $N$ units. The units are the nodes of the network and the co-operations are indicated by directed links. At each evolution step $N$ units co-operate whi
Externí odkaz:
http://arxiv.org/abs/1905.12449
Akademický článek
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Akademický článek
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Publikováno v:
Területi Statisztika / Regional Statistics - Hungarian Edition. 61(05):605-630
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=985558
A random graph evolution rule is considered. The graph evolution is based on interactions of three vertices. The weight of a clique is the number of its interactions. The asymptotic behaviour of the weights is described. It is known that the weight d
Externí odkaz:
http://arxiv.org/abs/1412.6746