A Comparison of Time-Space Schemes for Graphical Models
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2346-2351.
Abstract
We investigate three parameterized algorithmic schemes for graphical models that can accommodate trade-offs between time and space: 1) AND/OR Adaptive Caching (AOC(i)); 2) Variable Elimination and Conditioning (VEC(i)); and 3) Tree Decomposition with Conditioning (TDC(i)). We show that AOC(i) is better than the vanilla versions of both VEC(i) and TDC(i), and use the guiding principles of AOC(i)to improve the other two schemes. Finally, we show that the improved versions of VEC(i) and TDCI can be simulated by AOC(i), which emphasizes the unifying power of the AND/OR framework.
@inproceedings{ijcai2007p378,
title = {A Comparison of Time-Space Schemes for Graphical Models},
author = {Mateescu, Robert and Dechter, Rina},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2346--2351},
year = {2007},
url = {https://ijcai.org/proceedings/2007/378},
}
TY - CPAPER TI - A Comparison of Time-Space Schemes for Graphical Models AU - Mateescu, Robert AU - Dechter, Rina T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2346 EP - 2351 UR - https://ijcai.org/proceedings/2007/378 ER -Copied
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