Fast and accurate learning of probabilistic circuits by random projections (2021)
- Authors:
- USP affiliated authors: MAUÁ, DENIS DERATANI - IME ; GEH, RENATO LUI - IME
- Unidade: IME
- Subjects: APRENDIZADO COMPUTACIONAL; MODELOS PARA PROCESSOS ESTOCÁSTICOS; INTELIGÊNCIA ARTIFICIAL
- Agências de fomento:
- Language: Inglês
- Source:
- Título: Workshop
- Conference titles: Workshop on Tractable Probabilistic Modeling
-
ABNT
GEH, Renato Lui e MAUÁ, Denis Deratani. Fast and accurate learning of probabilistic circuits by random projections. 2021, Anais.. [S.l.]: Instituto de Matemática e Estatística, Universidade de São Paulo, 2021. Disponível em: https://openreview.net/forum?id=BhoGeih_B8o. Acesso em: 22 jan. 2026. -
APA
Geh, R. L., & Mauá, D. D. (2021). Fast and accurate learning of probabilistic circuits by random projections. In Workshop. Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://openreview.net/forum?id=BhoGeih_B8o -
NLM
Geh RL, Mauá DD. Fast and accurate learning of probabilistic circuits by random projections [Internet]. Workshop. 2021 ;[citado 2026 jan. 22 ] Available from: https://openreview.net/forum?id=BhoGeih_B8o -
Vancouver
Geh RL, Mauá DD. Fast and accurate learning of probabilistic circuits by random projections [Internet]. Workshop. 2021 ;[citado 2026 jan. 22 ] Available from: https://openreview.net/forum?id=BhoGeih_B8o - Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging
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- Approximation complexity of maximum a posteriori inference in sum-product networks
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