On Undirected Representations of Bayesian Networks (2001)
by
S. K. M. Wong
,
C. J. Butz
,
D. Wu
| Venue: | ACM SIGIR Workshop on Mathematical/Formal Models in Information Retrieval |
| Citations: | 7 - 6 self |
BibTeX
@INPROCEEDINGS{Wong01onundirected,
author = {S. K. M. Wong and C. J. Butz and D. Wu},
title = {On Undirected Representations of Bayesian Networks},
booktitle = {ACM SIGIR Workshop on Mathematical/Formal Models in Information Retrieval},
year = {2001},
pages = {52--59}
}
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Abstract
Empirical studies clearly demonstrate the effectiveness of the nested jointree (NJT) representation in probabilistic inference. A NJT is a traditional Markov network (MN) together with a possible local MN nested in each clique. These nested MNs can themselves contain other nested MNs in a recursive manner. However, the NJT representation is not necessarily a faithful representation of a given Bayesian network (BN).
