EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA
In this paper we report an evolutionary approach to learning Bayesian networks from data. We explain reasons, which advocate such a non-deterministic approach. We analyze weaknesses of previous works and come to conclusion that we should operate in the search space native for the problem i.e. in th...
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Format: | Article |
Language: | English |
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Gdańsk University of Technology
2002-07-01
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Series: | TASK Quarterly |
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Online Access: | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2248 |
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author | MAREK KOZŁOWSKI SŁAWOMIR T. WIERZCHOŃ |
author_facet | MAREK KOZŁOWSKI SŁAWOMIR T. WIERZCHOŃ |
author_sort | MAREK KOZŁOWSKI |
collection | DOAJ |
description |
In this paper we report an evolutionary approach to learning Bayesian networks from data. We explain reasons, which advocate such a non-deterministic approach. We analyze weaknesses of previous works and come to conclusion that we should operate in the search space native for the problem i.e. in the space of directed acyclic graphs instead of standard space of binary strings. This requires adaptation of evolutionary methodology into very specific needs. We propose quite new data representation and implementation of generalized genetic operators and then we present an efficient algorithm capable of learning complex networks without additional assumptions. We discuss results obtained with this algorithm. The approach presented in this paper can be extended with the possibility to absorb some suggestions from experts or obtained by means of data preprocessing.
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first_indexed | 2024-12-12T03:14:30Z |
format | Article |
id | doaj.art-48beade7edbd4acc893ec7ca6eec39f7 |
institution | Directory Open Access Journal |
issn | 1428-6394 |
language | English |
last_indexed | 2024-12-12T03:14:30Z |
publishDate | 2002-07-01 |
publisher | Gdańsk University of Technology |
record_format | Article |
series | TASK Quarterly |
spelling | doaj.art-48beade7edbd4acc893ec7ca6eec39f72022-12-22T00:40:19ZengGdańsk University of TechnologyTASK Quarterly1428-63942002-07-0163EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATAMAREK KOZŁOWSKI0SŁAWOMIR T. WIERZCHOŃ1Warsaw University of Technology, Faculty of Mathematics and Information SciencesPolish Academy of Sciences, Institute of Computer Science; Technical University of Bialystok, Department of Computer Science In this paper we report an evolutionary approach to learning Bayesian networks from data. We explain reasons, which advocate such a non-deterministic approach. We analyze weaknesses of previous works and come to conclusion that we should operate in the search space native for the problem i.e. in the space of directed acyclic graphs instead of standard space of binary strings. This requires adaptation of evolutionary methodology into very specific needs. We propose quite new data representation and implementation of generalized genetic operators and then we present an efficient algorithm capable of learning complex networks without additional assumptions. We discuss results obtained with this algorithm. The approach presented in this paper can be extended with the possibility to absorb some suggestions from experts or obtained by means of data preprocessing. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2248Bayesian networksstructure learningevolutionary algorithmdiscrete optimization |
spellingShingle | MAREK KOZŁOWSKI SŁAWOMIR T. WIERZCHOŃ EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA TASK Quarterly Bayesian networks structure learning evolutionary algorithm discrete optimization |
title | EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA |
title_full | EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA |
title_fullStr | EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA |
title_full_unstemmed | EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA |
title_short | EVOLUTIONARY ALGORITHM FOR LEARNING BAYESIAN STRUCTURES FROM DATA |
title_sort | evolutionary algorithm for learning bayesian structures from data |
topic | Bayesian networks structure learning evolutionary algorithm discrete optimization |
url | https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2248 |
work_keys_str_mv | AT marekkozłowski evolutionaryalgorithmforlearningbayesianstructuresfromdata AT sławomirtwierzchon evolutionaryalgorithmforlearningbayesianstructuresfromdata |