Comparing algorithms based on marginal problem
Kybernetika (2007)
- Volume: 43, Issue: 5, page 633-647
- ISSN: 0023-5954
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topKříž, Otakar. "Comparing algorithms based on marginal problem." Kybernetika 43.5 (2007): 633-647. <http://eudml.org/doc/33885>.
@article{Kříž2007,
abstract = {The paper deals with practical aspects of decision making under uncertainty on finite sets. The model is based on marginal problem. Numerical behaviour of 10 different algorithms is compared in form of a study case on the data from the field of rheumatology. (Five of the algorithms types were suggested by A. Perez.) The algorithms (expert systems, inference engines) are studied in different situations (combinations of parameters).},
author = {Kříž, Otakar},
journal = {Kybernetika},
keywords = {graphical probabilistic models; probabilistic inference; marginal problem; graphical probabilistic models; probabilistic inference},
language = {eng},
number = {5},
pages = {633-647},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Comparing algorithms based on marginal problem},
url = {http://eudml.org/doc/33885},
volume = {43},
year = {2007},
}
TY - JOUR
AU - Kříž, Otakar
TI - Comparing algorithms based on marginal problem
JO - Kybernetika
PY - 2007
PB - Institute of Information Theory and Automation AS CR
VL - 43
IS - 5
SP - 633
EP - 647
AB - The paper deals with practical aspects of decision making under uncertainty on finite sets. The model is based on marginal problem. Numerical behaviour of 10 different algorithms is compared in form of a study case on the data from the field of rheumatology. (Five of the algorithms types were suggested by A. Perez.) The algorithms (expert systems, inference engines) are studied in different situations (combinations of parameters).
LA - eng
KW - graphical probabilistic models; probabilistic inference; marginal problem; graphical probabilistic models; probabilistic inference
UR - http://eudml.org/doc/33885
ER -
References
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