DL-Lite Bayesian networks: a tractable probabilistic graphical model (2015)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; COZMAN, FABIO GAGLIARDI - EP
- Unidades: IME; EP
- DOI: 10.1007/978-3-319-23540-0_4
- Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS; COMPUTABILIDADE E COMPLEXIDADE; INTELIGÊNCIA ARTIFICIAL; PROBABILIDADE APLICADA
- Language: Inglês
- Imprenta:
- Source:
- Título: Scalable Uncertainty Management: 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings
- Volume/Número/Paginação/Ano: Cham: Springer, 2015
- Conference titles: International Conference on Scalable Uncertainty Management - SUM
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. DL-Lite Bayesian networks: a tractable probabilistic graphical model. 2015, Anais.. Cham: Springer, 2015. Disponível em: https://doi.org/10.1007/978-3-319-23540-0_4. Acesso em: 28 dez. 2025. -
APA
Mauá, D. D., & Cozman, F. G. (2015). DL-Lite Bayesian networks: a tractable probabilistic graphical model. In Scalable Uncertainty Management: 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings. Cham: Springer. doi:10.1007/978-3-319-23540-0_4 -
NLM
Mauá DD, Cozman FG. DL-Lite Bayesian networks: a tractable probabilistic graphical model [Internet]. Scalable Uncertainty Management: 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings. 2015 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-319-23540-0_4 -
Vancouver
Mauá DD, Cozman FG. DL-Lite Bayesian networks: a tractable probabilistic graphical model [Internet]. Scalable Uncertainty Management: 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings. 2015 ;[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-319-23540-0_4 - Fast local search methods for solving limited memory influence diagrams
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Informações sobre o DOI: 10.1007/978-3-319-23540-0_4 (Fonte: oaDOI API)
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