Detail publikace

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

SCHWARZ Josef a OČENÁŠEK Jiří. Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer. In: Mendel 2002. Brno: Fakulta strojního inženýrství VUT, 2002, s. 117-124. ISBN 80-214-2135-5.
Název česky
Bayes-Dirichlet BDD as a probabilistic model for logic functions and evolutionary circuit decomposer
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Schwarz Josef, doc. Ing., CSc. (UPSY FIT VUT)
Očenášek Jiří, Ing., Ph.D. (UPSY FIT VUT)
Abstrakt

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.

Rok
2002
Strany
117-124
Sborník
Mendel 2002
Konference
8th International Mendel Conference on Soft Computing, Brno, CZ
ISBN
80-214-2135-5
Vydavatel
Fakulta strojního inženýrství VUT
Místo
Brno, CZ
BibTeX 
@INPROCEEDINGS{FITPUB6932,
   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 = "https://www.fit.vut.cz/research/publication/6932"
}
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