0531044 - ÚTIA 2022 RIV SG eng C - Conference Paper (international conference)
Kratochvíl, Václav - Bína, Vladislav - Jiroušek, Radim - Lee, T. R.Compositional Models: Iterative Structure Learning from Data.
Sensor Networks and Signal Processing. vol. 176. Singapore: Springer, 2021 - (Peng, S.; Favorskaya, M.; Chao, H.), s. 379-395. 2190-3018. ISBN 978-981-15-4916-8.
[Sensor Networks and Signal Processing (SNSP 2019) /2./. Hualien (TW), 19.11.2019-22.11.2019]
Grant - others:GA ČR(CZ) GA19-06569S; Akademie věd - GA AV ČR(CZ) MOST-04-18
Program: GA
Institutional support: RVO:67985556
Keywords : Compositional models * Structure learning * Decomposability * Likelihood-ratio * Test statistics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2020/MTR/kratochvil-0531044.pdf
Permanent Link: http://hdl.handle.net/11104/0310094
