Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions

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SYSNO	0490309
Title	Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions
Author(s)	Plajner, Martin (UTIA-B) [MTR] Vomlel, Jiří (UTIA-B) [MTR]_{RID, ORCID}
Source Title	Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18). S. 153-164. - Praha : MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University, 2018 / Kratochvíl Václav ; Vejnarová Jiřina
Conference	Workshop on Uncertainty Processing (WUPES’18), 06.06.2018, Třeboň - 09.06.2018
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA16-12010S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
	SGS17/198/OHK4/3T/14, CZ - Czech Republic
Institutional support	UTIA-B - RVO:67985556
Language	eng
Country	CZ
Keywords	Bayesian networks * Learning model parameters * monotonicity condition
URL	http://library.utia.cas.cz/separaty/2018/MTR/plajner-0490309.pdf
Permanent Link	http://hdl.handle.net/11104/0284592

Number of the records: 1