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Bibliografie

GA22-11101S

  1. Pérez Cabrera Iván, Vomlel JiříEnhancing Bayesian Networks with Psychometric Models , Proceedings of Machine Learning Research (PMLR), Volume 246 : International Conference on Probabilistic Graphical Models, p. 401-414, International Conference on Probabilistic Graphical Models 2024 /12./, (Nijmegen, NL, 20240911) [2024] Download Download
  2. Tichavský Petr, Straka O.Tensor Train Approximation of Multivariate Functions , EUSIPCO 2024, p. 2262-2266, European Signal Processing Conference 2024 /32./, (Lyon, FR, 20240826) [2024] Download
  3. Punčochář I., Straka O., Tichavský PetrActive Fault Detection Based on Tensor Train Decomposition , IFAC-PapersOnLine. Volume 58, Issue 4 -12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2024, p. 676-681, IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes, Safe Process 2024 /12./, (Ferrara, IT, 20240604) [2024] Download DOI: 10.1016/j.ifacol.2024.07.297
  4. Pérez Cabrera Iván, Vomlel JiříOn Identifiability of BN2A Networks , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023., p. 136-148 , Eds: Bouraoui Zied, Vesic Srdjan, European Conference, ECSQARU 2023 /17./, (Arras, FR, 20230919) [2023] Download DOI: 10.1007/978-3-031-45608-4_11
  5. Tichavský Petr, Phan A. H.Tensor Chain Decomposition and Function Interpolation , Proceedings of the 22nd IEEE Statistical Signal Processing Workshop, p. 557-561, IEEE Statistical Signal Processing Workshop /22./, (Hanoi, VN, 20230702) [2023] Download
  6. Straka O., Duník J., Tichavský PetrPoint-mass filter with functional decomposition of transient density and two-level convolution , IFAC-PapersOnLine. Volume 56, Issue 2 - 22nd IFAC World Congress, p. 7516-7520, 22nd IFAC World Congress, (Yokohama, JP, 20230709) [2023] Download DOI: 10.1016/j.ifacol.2023.10.509
  7. Tichavský Petr, Straka O., Duník J.Point-Mass Filter with Decomposition of Transient Density , 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, p. 5752-5756, IEEE International Conference on Acoustics, Speech, and Signal Processing 2022, (Singapur, SG, 20220522) [2022] Download DOI: 10.1109/ICASSP43922.2022.9747607