Probablistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility. Saint-Guillain, M., Vaquero, T. S., Chien, S., Agrawal, J., & Abrahams, J. Journal of Artificial Intelligence Research, 17:1091–1136, AI Access Foundation, Inc, 2021. Paper bibtex 16 downloads @article{saint_guillain_et_al_JAIR21,
title = {Probablistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility},
author = {Saint-Guillain, M. and Vaquero, T. S. and Chien, S. and Agrawal, J. and Abrahams, J.},
year = 2021,
journal = {Journal of Artificial Intelligence Research},
publisher = {AI Access Foundation, Inc},
volume = 17,
pages = {1091--1136},
url = {https://doi.org/10.1613/jair.1.13019},
clearance = {CL\#21-3895},
project = {m2020}
}
Downloads: 16
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