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

  1. 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
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