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pro vyhledávání: '"Alekseev, Vasiliy P."'
Deep neural network models have a complex architecture and are overparameterized. The number of parameters is more than the whole dataset, which is highly resource-consuming. This complicates their application and limits its usage on different device
Externí odkaz:
http://arxiv.org/abs/2408.06024
Topic modelling is fundamentally a soft clustering problem (of known objects -- documents, over unknown clusters -- topics). That is, the task is incorrectly posed. In particular, the topic models are unstable and incomplete. All this leads to the fa
Externí odkaz:
http://arxiv.org/abs/2408.05840
Publikováno v:
Recent Trends in Analysis of Images, Social Networks and Texts. AIST 2023. Communications in Computer and Information Science, vol 1905. Springer, Cham
The number of topics might be the most important parameter of a topic model. The topic modelling community has developed a set of various procedures to estimate the number of topics in a dataset, but there has not yet been a sufficiently complete com
Externí odkaz:
http://arxiv.org/abs/2406.10402
Akademický článek
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Autor:
Green, Alison J.E., Sivtseva, Tatiana M., Danilova, Al'bina P., Osakovsky, Vladimir L., Vladimirtsev, Vsevolod A., Zeidler, Martin, Knight, Richard S., Platonov, Feodor A., Shatunov, Alexey, Alekseev, Vasiliy P., Krivoshapkin, Vadim G., Masters, Colin L., Gajdusek, D.Carleton, Goldfarb, Lev G. *
Publikováno v:
In Journal of the Neurological Sciences 15 August 2003 212(1-2):69-73
