Result 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.
Type
conference paper
Language
English
Authors
Schwarz Josef, doc. Ing., CSc.
Očenášek Jiří, Ing., FIT (FIT)
Očenášek Jiří, Ing., FIT (FIT)
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.
Keywords
k-way ratio-cut partitioning, binary decision diagram, Bayes-Dirichlet metric
Published
2002
Pages
117–124
Proceedings
Mendel 2002
Conference
Mendel 2002, 8th International Conference on Soft Computing
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"
}
Projects
Parallel system performance prediction and tuning, GACR, Standardní projekty, GA102/02/0503, start: 2002-01-01, end: 2004-12-31, completed
Research groups
Departments