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0524975 - ÚTIA 2021 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Petrouš, Matej - Uglickich, Evženie
Modeling of mixed data for Poisson prediction.
Applied Computational Intelligence and Informatics (SACI) : 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI). Piscataway: IEEE, 2020, s. 77-82. ISBN 978-1-7281-7378-8.
[IEEE 14th International Symposium on Applied Computational Intelligence and Informatics SACI 2020. Timisoara (RO), 21.05.2020-23.05.2020]
Grant CEP: GA MŠMT(CZ) 8A17006
Institucionální podpora: RVO:67985556
Klíčová slova: mixed data * Poisson distribution * mixture based clustering * passenger demand
Obor OECD: Statistics and probability
http://library.utia.cas.cz/separaty/2020/AS/uglickich-0524975.pdf
Trvalý link: http://hdl.handle.net/11104/0309417
Petrouš, Matej - Uglickich, Evženie
Modeling of mixed data for Poisson prediction.
Applied Computational Intelligence and Informatics (SACI) : 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI). Piscataway: IEEE, 2020, s. 77-82. ISBN 978-1-7281-7378-8.
[IEEE 14th International Symposium on Applied Computational Intelligence and Informatics SACI 2020. Timisoara (RO), 21.05.2020-23.05.2020]
Grant CEP: GA MŠMT(CZ) 8A17006
Institucionální podpora: RVO:67985556
Klíčová slova: mixed data * Poisson distribution * mixture based clustering * passenger demand
Obor OECD: Statistics and probability
http://library.utia.cas.cz/separaty/2020/AS/uglickich-0524975.pdf
Trvalý link: http://hdl.handle.net/11104/0309417