Conference paper

SCHWARZ Josef and OČENÁŠEK Jiří. Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer. In: Mendel 2002. Brno: Faculty of Mechanical Engineering BUT, 2002, pp. 117-124. ISBN 80-214-2135-5.
Publication language:english
Original title:Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer
Title (cs):Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer
Pages:117-124
Proceedings:Mendel 2002
Conference:8th International Mendel Conference on Soft Computing
Place:Brno, CZ
Year:2002
ISBN:80-214-2135-5
Publisher:Faculty of Mechanical Engineering BUT
Keywords
k-way ratio-cut partitioning, binary decision diagram, Bayes-Dirichlet metric
Annotation
This paper deals with the k-way ratio cut hypergraph partitioning utilizing the Mixed discrete continuous variant of the Bayesian Optimization Algorithm (mBOA). We have tested our algorithm on three partitioning taxonomies: recursive minimum ratio cut, multi-way minimum ratio cut and recursive minimum cut bisection. We have also derived a new approach for modeling of Boolean functions using binary decision diagrams (BDDs) which are primarily used as a probabilistic model of the mBOA algorithm.
BibTeX:
@INPROCEEDINGS{
   author = {Josef Schwarz and Ji{\v{r}}{\'{i}}
	O{\v{c}}en{\'{a}}{\v{s}}ek},
   title = {Bayes-Dirichlet BDD as a probabilistic model for logic
	functions and evolutionary circuit decomposer},
   pages = {117--124},
   booktitle = {Mendel 2002},
   year = {2002},
   location = {Brno, CZ},
   publisher = {Faculty of Mechanical Engineering BUT},
   ISBN = {80-214-2135-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=6932}
}

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