DOI: 10.11606/t.18.2017.tde-18042017-164144
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Identicação de sistemas neurais com redes bayesianas dinâmicas e transferência de entropia

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“…Both BN ′ s and DBN ′ s should consider the same three main aspects for the construction of a model: i) problem variables; ii) topology learning; and iii) learning the parameters (i.e., CDP's) for each variable. According to Santos (2017) and Sucar (2015), for each of these aspects in the DBNs, we can apply the same methods used in the BN ′ s mentioned in subsection 5.1.1.…”
Section: Building Modelsmentioning
confidence: 99%
“…Both BN ′ s and DBN ′ s should consider the same three main aspects for the construction of a model: i) problem variables; ii) topology learning; and iii) learning the parameters (i.e., CDP's) for each variable. According to Santos (2017) and Sucar (2015), for each of these aspects in the DBNs, we can apply the same methods used in the BN ′ s mentioned in subsection 5.1.1.…”
Section: Building Modelsmentioning
confidence: 99%