Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition

Number of the records: 1

1.

SYSNO	0380991
Title	Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition
Author(s)	Vomlel, Jiří (UTIA-B) [MTR]_{RID, ORCID} Tichavský, Petr (UTIA-B) [SI]_{RID, ORCID}
Source Title	Proceedings of The Sixth European Workshop on Probabilistic Graphical Models. S. 355-362. - Granada : DECSAI, University of Granada, 2012
Conference	The Sixth European Workshop on Probabilistic Graphical Models, Granada, 19.09.2012-21.09.2012
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA102/09/1278 GA ČR - Czech Science Foundation (CSF)
	GA201/08/0539 GA ČR - Czech Science Foundation (CSF)
Institutional support	UTIA-B - RVO:67985556
Language	eng
Country	ES
Keywords	probabilistic graphical models * probabilistic inference * CP tensor decomposition
URL	http://library.utia.cas.cz/separaty/2012/MTR/vomlel-computationally efficient probabilistic inference with noisy threshold models based on a cp tensor decomposition.pdf
Permanent Link	http://hdl.handle.net/11104/0211567

Number of the records: 1