0490309 - ÚTIA 2019 RIV CZ eng C - Conference Paper (international conference)
Plajner, Martin - Vomlel, JiříGradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions.
Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18). Praha: MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University, 2018 - (Kratochvíl, V.; Vejnarová, J.), s. 153-164. ISBN 978-80-7378-361-7.
[Workshop on Uncertainty Processing (WUPES’18). Třeboň (CZ), 06.06.2018-09.06.2018]
R&D Projects: GA ČR(CZ) GA16-12010S
Grant - others:ČVUT(CZ) SGS17/198/OHK4/3T/14
Institutional support: RVO:67985556
Keywords : Bayesian networks * Learning model parameters * monotonicity condition
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/2018/MTR/plajner-0490309.pdf
Permanent Link: http://hdl.handle.net/11104/0284592
