BACK to VOLUME 43 NO.5

Kybernetika 43(5):633-647, 2007.

Comparing Algorithms Based on Marginal Problem

Otakar Kříž


Abstract:

The paper deals with practical aspects of decision making under uncertainty on finite sets. The model is based on {\em 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 {\em situations} (combinations of parameters).


Keywords: graphical probabilistic models; probabilistic inference; marginal problem;


AMS: 68T37; 62E15;


download full-text.pdf
download abstract.pdf

BIB TeX

@article{kyb:2007:5:633-647,

author = {K\v{r}\'{\i}\v{z}, Otakar },

title = {Comparing Algorithms Based on Marginal Problem},

journal = {Kybernetika},

volume = {43},

year = {2007},

number = {5},

pages = {633-647}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


BACK to VOLUME 43 NO.5