Hardware Design for Autonomous Bayesian Networks
Frontiers in Computational Neuroscience, 2021 Directed acyclic graphs or Bayesian networks that are popular in many AI-related sectors for probabilistic inference and causal reasoning can be mapped to probabilistic circuits built out of probabilistic bits (p-bits), analogous to binary stochastic ...
Rafatul Faria +3 more
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Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference
, 2017 Probabilistic inference from real-time input data is becoming increasingly popular and may be one of the potential pathways at enabling cognitive intelligence.
Chen, Shuhan +3 more
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Adaptive Neutrosophic Integration and Trust Modeling: A New Framework for Evaluating Mobile Communication Network Migration Perception [PDF]
Neutrosophic Sets and SystemsThis paper presents an innovative neutrosophic decision-making framework for modeling and analyzing customer trust during mobile communication network transitions, specifically in the context of 4G to 5G migration.
Ke Li
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Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
, 2011 We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. definite clause programs containing probabilistic facts with a parameterized distribution.
Kameya, Y., Sato, T.
core +2 more sources
MathematicsThe primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under ...
Ju Chen +7 more
semanticscholar +1 more source
Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments [PDF]
Hydrology and Earth System Sciences, 2002 This paper evaluates six published data fusion strategies for hydrological forecasting based on two contrasting catchments: the River Ouse and the Upper River Wye.
R. J. Abrahart, R. J. Abrahart, L. See
doaj
Applications of Nonclassical Logic Methods for Purposes of Knowledge Discovery and Data Mining [PDF]
, 2004 * The work is partially supported by Grant no. NIP917 of the Ministry of Science and Education – Republic of Bulgaria.Methods for solution of a large class of problems on the base of nonclassical, multiple-valued, and probabilistic logics have been ...
Jotsov, Vladimir +2 more
core
Making Classical Ground State Spin Computing Fault-Tolerant
, 2014 We examine a model of classical deterministic computing in which the ground state of the classical system is a spatial history of the computation. This model is relevant to quantum dot cellular automata as well as to recent universal adiabatic quantum ...
A. Childs +16 more
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Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G
IEEE Access, 2019 The previously proposed algorithms for preventing cascading failures, which lead to a blackout event, involve specific load shedding schemes, which introduce incurring losses in the power system network.
Muhammad Adnan +3 more
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A Probabilistic Logic of Cyber Deception
IEEE Transactions on Information Forensics and Security, 2017 Malicious attackers often scan nodes in a network in order to identify vulnerabilities that they may exploit as they traverse the network. In this paper, we propose that the system generates a mix of true and false answers in response to scan requests ...
S. Jajodia +6 more
semanticscholar +1 more source