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Reducing Redundancy in the Hypertree Decomposition Scheme
Sacramento, California, USA November 03-November 05
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2003.125022715th IEEE International Conference on ...
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Peter Harvey, Aditya Ghose, "Reducing Redundancy in the Hypertree Decomposition Scheme," Tools with Artificial Intelligence, IEEE International Conference on, pp. 474, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), 2003.
 
 
BibTex
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@article{ 10.1109/TAI.2003.1250227,
author = {Peter Harvey and Aditya Ghose},
title = {Reducing Redundancy in the Hypertree Decomposition Scheme},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2003},
issn = {1082-3409},
pages = {474},
doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2003.1250227},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Reducing Redundancy in the Hypertree Decomposition Scheme
SN - 1082-3409
SP
EP
A1 - Peter Harvey,
A1 - Aditya Ghose,
PY - 2003
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Peter Harvey, University of Wollongong
Aditya Ghose, University of Wollongong
Hypertree decomposition is a powerful technique for transforming near-acyclic CSPs into acyclic CSPs. Acyclic CSPs have efficient, polynomial time solving techniques, and so these conversions are of interest to the constraints community. We present here an improvement on the opt-k-decomp algorithm for finding an optimal hypertree decomposition.
Citation:
Peter Harvey, Aditya Ghose, "Reducing Redundancy in the Hypertree Decomposition Scheme," ictai, pp.474, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), 2003
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