Marginalization in multidimensional compositional models
Vladislav Bína; Radim Jiroušek
Kybernetika (2006)
- Volume: 42, Issue: 4, page 405-422
- ISSN: 0023-5954
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topBína, Vladislav, and Jiroušek, Radim. "Marginalization in multidimensional compositional models." Kybernetika 42.4 (2006): 405-422. <http://eudml.org/doc/33814>.
@article{Bína2006,
abstract = {Efficient computational algorithms are what made graphical Markov models so popular and successful. Similar algorithms can also be developed for computation with compositional models, which form an alternative to graphical Markov models. In this paper we present a theoretical basis as well as a scheme of an algorithm enabling computation of marginals for multidimensional distributions represented in the form of compositional models.},
author = {Bína, Vladislav, Jiroušek, Radim},
journal = {Kybernetika},
keywords = {compositional models; marginalization; Bayesian network; compositional model; marginalization; Bayesian network; algorithms; graphical Markov models},
language = {eng},
number = {4},
pages = {405-422},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Marginalization in multidimensional compositional models},
url = {http://eudml.org/doc/33814},
volume = {42},
year = {2006},
}
TY - JOUR
AU - Bína, Vladislav
AU - Jiroušek, Radim
TI - Marginalization in multidimensional compositional models
JO - Kybernetika
PY - 2006
PB - Institute of Information Theory and Automation AS CR
VL - 42
IS - 4
SP - 405
EP - 422
AB - Efficient computational algorithms are what made graphical Markov models so popular and successful. Similar algorithms can also be developed for computation with compositional models, which form an alternative to graphical Markov models. In this paper we present a theoretical basis as well as a scheme of an algorithm enabling computation of marginals for multidimensional distributions represented in the form of compositional models.
LA - eng
KW - compositional models; marginalization; Bayesian network; compositional model; marginalization; Bayesian network; algorithms; graphical Markov models
UR - http://eudml.org/doc/33814
ER -
References
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