A PSO approach for learning transition structures of higher-order dynamic bayesian networks (2014)
- Authors:
- Autor USP: MACIEL, CARLOS DIAS - EESC
- Unidade: EESC
- Subjects: NEUROCIÊNCIAS; MÉTODOS MCMC; INFERÊNCIA BAYESIANA; REDES NEURAIS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2014
- ISBN: 9781479956883
- Source:
- Título: Full Papers
- Conference titles: ISSNIP-IEEE Biosignals and Biorobotics Conference
-
ABNT
SANTOS, Fernando Pasquini e MACIEL, Carlos Dias. A PSO approach for learning transition structures of higher-order dynamic bayesian networks. 2014, Anais.. Piscataway: IEEE, 2014. . Acesso em: 20 jan. 2026. -
APA
Santos, F. P., & Maciel, C. D. (2014). A PSO approach for learning transition structures of higher-order dynamic bayesian networks. In Full Papers. Piscataway: IEEE. -
NLM
Santos FP, Maciel CD. A PSO approach for learning transition structures of higher-order dynamic bayesian networks. Full Papers. 2014 ;[citado 2026 jan. 20 ] -
Vancouver
Santos FP, Maciel CD. A PSO approach for learning transition structures of higher-order dynamic bayesian networks. Full Papers. 2014 ;[citado 2026 jan. 20 ] - Bayesian networks supporting management practices: a multifaceted perspective based on the literature
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