Publication Details

Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer

SCHWARZ, J.; OČENÁŠEK, J. Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer. Mendel 2002. Brno: Faculty of Mechanical Engineering BUT, 2002. p. 117-124. ISBN: 80-214-2135-5.
Czech title
Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer
Type
conference paper
Language
English
Authors
Schwarz Josef, doc. Ing., CSc. (CM-SFE)
Očenášek Jiří, Ing.
Keywords

k-way ratio-cut partitioning, binary decision diagram, Bayes-Dirichlet metric

Abstract

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.

Published
2002
Pages
117–124
Proceedings
Mendel 2002
ISBN
80-214-2135-5
Publisher
Faculty of Mechanical Engineering BUT
Place
Brno
BibTeX 
@inproceedings{BUT10025,
  author="Josef {Schwarz} and Jiří {Očenášek}",
  title="Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer",
  booktitle="Mendel 2002",
  year="2002",
  pages="117--124",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="80-214-2135-5"
}
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