Generalizing variable elimination in Bayesian networks (2000)
- Autor:
- Autor USP: COZMAN, FABIO GAGLIARDI - EP
- Unidade: EP
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROBABILIDADE E ESTATISTICA
- Language: Inglês
- Imprenta:
- Publisher: Tec Art Editora
- Publisher place: São Paulo
- Date published: 2000
- ISBN: 8590166414
- Source:
- Título do periódico: Proceedings of the IBERAMIA / SBIA 2000
- Conference titles: Workshop on Artificial Intelligence, and Computer Vision
-
ABNT
COZMAN, Fabio Gagliardi. Generalizing variable elimination in Bayesian networks. 2000, Anais.. São Paulo: Tec Art Editora, 2000. Disponível em: https://repositorio.usp.br/directbitstream/29503982-f13e-4b3a-b728-97ee416fe657/Cozman-2000-generalizing%20variable%20elimination%20in%20bayesian%20networks.pdf. Acesso em: 20 abr. 2024. -
APA
Cozman, F. G. (2000). Generalizing variable elimination in Bayesian networks. In Proceedings of the IBERAMIA / SBIA 2000. São Paulo: Tec Art Editora. Recuperado de https://repositorio.usp.br/directbitstream/29503982-f13e-4b3a-b728-97ee416fe657/Cozman-2000-generalizing%20variable%20elimination%20in%20bayesian%20networks.pdf -
NLM
Cozman FG. Generalizing variable elimination in Bayesian networks [Internet]. Proceedings of the IBERAMIA / SBIA 2000. 2000 ;[citado 2024 abr. 20 ] Available from: https://repositorio.usp.br/directbitstream/29503982-f13e-4b3a-b728-97ee416fe657/Cozman-2000-generalizing%20variable%20elimination%20in%20bayesian%20networks.pdf -
Vancouver
Cozman FG. Generalizing variable elimination in Bayesian networks [Internet]. Proceedings of the IBERAMIA / SBIA 2000. 2000 ;[citado 2024 abr. 20 ] Available from: https://repositorio.usp.br/directbitstream/29503982-f13e-4b3a-b728-97ee416fe657/Cozman-2000-generalizing%20variable%20elimination%20in%20bayesian%20networks.pdf - Pesquisadores da USP concluem robo móvel e vão torna-lo mais inteligente. [Depoimento]
- Inteligência Artificial no dia-a-dia [Entrevista á Fabio de Lima]
- Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction
- Anytime anyspace probabilistic inference
- Axiomatizing noisy-OR
- Bayesian network classifiers for country risk forecasting
- Computing lower and upper expectations under epistemic independence
- IPE and L2U: appoximate algorithms for credal networks
- Derivadas em redes bayesianas usando eliminação de variáveis
- Semi-supervised learning and model search
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | Cozman-2000-generalizing ... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
