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Propagating Uncertainty in Bayesian Networks by Probabilistic Logic Sampling
1988Bayesian belief networks and influence diagrams are attractive approaches for representing uncertain expert knowledge in coherent probabilistic form. But current algorithms for propagating updates are either restricted to singly connected networks (Chow trees), as the scheme of Pearl and Kim, or they are liable to exponential complexity when dealing ...
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Probabilistic ontology based activity recognition in smart homes using Markov Logic Network
Knowledge-Based Systems, 2017K. Gayathri +2 more
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Modeling Smart Contracts with Probabilistic Logic Programming
Business Information Systems, 2020Damiano Azzolini +2 more
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Gallium nitride-based complementary logic integrated circuits
Nature Electronics, 2021Zheyang Zheng, Li Zhang, Han Xu
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Logic-in-memory based on an atomically thin semiconductor
Nature, 2020Guilherme Migliato Marega +2 more
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Logic gates based on neuristors made from two-dimensional materials
Nature Electronics, 2021Chunsen liu, Jianlu Wang, Weida Hu
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