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pro vyhledávání: '"Svens'en, M."'
Autor:
Bishop, Christopher M., Svens'en, M., Williams, Christopher K. I., von der Malsburg, C., von Selen, W., Vorbruggen, J. C., Sendhoff, B.
Publikováno v:
NCRG/96/031
The Self-Organizing Map (SOM) algorithm has been extensively studied and has been applied with considerable success to a wide variety of problems. However, the algorithm is derived from heuristic ideas and this leads to a number of significant limita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::9a2b3e9dff097ec28c4c2135f26aa830
https://publications.aston.ac.uk/id/eprint/38364/1/NCRG_96_031.pdf
https://publications.aston.ac.uk/id/eprint/38364/1/NCRG_96_031.pdf
There is currently considerable interest in developing general non-linear density models based on latent, or hidden, variables. Such models have the ability to discover the presence of a relatively small number of underlying `causes' which, acting in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::01a37e281df292900a688eefa8301f48
https://publications.aston.ac.uk/id/eprint/649/1/getPDF.pdf
https://publications.aston.ac.uk/id/eprint/649/1/getPDF.pdf