Exploring the space of probabilistic sentential decision diagrams (2019)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; SOARES, DÉCIO LAURO - IME
- Unidade: IME
- Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS
- Language: Inglês
- Imprenta:
- Publisher: International Conference on Machine Learning
- Publisher place: San Diego
- Date published: 2019
- Source:
- Título do periódico: Proceedings of Machine Learning Research - PMLR
- Conference titles: Workshop on Tractable Probabilistic Modeling - TPM
-
ABNT
MATTEI, Lilith et al. Exploring the space of probabilistic sentential decision diagrams. 2019, Anais.. San Diego: International Conference on Machine Learning, 2019. Disponível em: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view. Acesso em: 27 set. 2024. -
APA
Mattei, L., Soares, D. L., Antonucci, A., Mauá, D. D., & Facchini, A. (2019). Exploring the space of probabilistic sentential decision diagrams. In Proceedings of Machine Learning Research - PMLR. San Diego: International Conference on Machine Learning. Recuperado de https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view -
NLM
Mattei L, Soares DL, Antonucci A, Mauá DD, Facchini A. Exploring the space of probabilistic sentential decision diagrams [Internet]. Proceedings of Machine Learning Research - PMLR. 2019 ;[citado 2024 set. 27 ] Available from: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view -
Vancouver
Mattei L, Soares DL, Antonucci A, Mauá DD, Facchini A. Exploring the space of probabilistic sentential decision diagrams [Internet]. Proceedings of Machine Learning Research - PMLR. 2019 ;[citado 2024 set. 27 ] Available from: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view - Hidden Markov models with set-valued parameters
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