Radim Jirousek, Václav Kratochvíl, Prakash P. Shenoy. Entropy-Based Learning of Compositional Models from Data. In Thierry Denoeux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon, editors, Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings. Volume 12915 of Lecture Notes in Computer Science, pages 117-126, Springer, 2021. [doi]
@inproceedings{JirousekKS21,
title = {Entropy-Based Learning of Compositional Models from Data},
author = {Radim Jirousek and Václav Kratochvíl and Prakash P. Shenoy},
year = {2021},
doi = {10.1007/978-3-030-88601-1_12},
url = {https://doi.org/10.1007/978-3-030-88601-1_12},
researchr = {https://researchr.org/publication/JirousekKS21},
cites = {0},
citedby = {0},
pages = {117-126},
booktitle = {Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings},
editor = {Thierry Denoeux and Eric Lefèvre and Zhunga Liu and Frédéric Pichon},
volume = {12915},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-88601-1},
}