Number of the records: 1
Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition
- 1.VOMLEL, Jiří, TICHAVSKÝ, Petr. Computationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition. In: 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. Available: http://library.utia.cas.cz/separaty/2012/MTR/vomlel-computationally efficient probabilistic inference with noisy threshold models based on a cp tensor decomposition.pdf
Number of the records: 1