Estudo Comparativo de Métricas de Pontuação para Aprendizagem Estrutural de Redes Bayesianas

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Bayesian networks are powerful tools as they represent probability distributions as graphs. They work with uncertainties of real systems. Since last decade there is a special interest in learning network structures from data. However learning the best network structure is a NP-Hard problem, so many...

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Opis bibliograficzny
1. autor: Pifer, Aderson Cleber
Kolejni autorzy: Oliveira, Luiz Affonso Henderson Guedes de
Format: Dissertação
Język:por
Wydane: Universidade Federal do Rio Grande do Norte
Hasła przedmiotowe:
Redes bayesianas
Métricas
Aprendizagem estrutural
ALARM
ASIA
Redes de crença
K-2
MDL
BDe
Bayesian networks
Score metric
Structural learning
Belief networks
MDL, BDe
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Dostęp online:https://repositorio.ufrn.br/jspui/handle/123456789/15513
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https://repositorio.ufrn.br/jspui/handle/123456789/15513

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