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Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition
- 1.0380991 - ÚTIA 2013 RIV ES eng C - Conference Paper (international conference)
Vomlel, Jiří - Tichavský, Petr
Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition.
Proceedings of The Sixth European Workshop on Probabilistic Graphical Models. Granada: DECSAI, University of Granada, 2012, s. 355-362. ISBN 978-84-15536-57-4.
[The Sixth European Workshop on Probabilistic Graphical Models. Granada (ES), 19.09.2012-21.09.2012]
R&D Projects: GA ČR GA102/09/1278; GA ČR GA201/08/0539
Institutional support: RVO:67985556
Keywords : probabilistic graphical models * probabilistic inference * CP tensor decomposition
Subject RIV: JD - Computer Applications, Robotics
Result website:
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