Results 21 to 30 of about 258,177 (241)
Instinctive Recognition of Pathogens in Rice Using Reformed Fractional Differential Segmentation and Innovative Fuzzy Logic-Based Probabilistic Neural Network [PDF]
Journal of Food Quality, 2022 Rice is an essential primary food crop in the world, and it plays a significant part in the country’s economy. It is the most often eaten stable food and is in great demand in the market as the world’s population continues to expand.
Anusha Preetham +6 more
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Creating a Probabilistic Graph for WordNet using Markov Logic Network
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016 The paper shows how to create a probabilistic graph for WordNet. A node is created for every word and phrase in WordNet. An edge between two nodes is labeled with the probability that a user that is interested in the source concept will also be interested in the destination concept.
L. Stanchev
semanticscholar +5 more sources
Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014 Drug-target interaction studies are important because they can predict drugs' unexpected therapeutic or adverse side effects. In silico predictions of potential interactions are valuable and can focus effort on in vitro experiments. We propose a prediction framework that represents the problem using a bipartite graph of drug-target interactions ...
Shobeir Fakhraei +3 more
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Quantum Logic Network for Probabilistic Teleportation of Two-Particle State in a General Form [PDF]
, 2003 A simplification scheme of probabilistic teleportation of two-particle state in a general form is given. By means of the primitive operations consisting of single-qubit gates, two-qubit controlled-not gates, Von Neumann measurement and classically ...
高亭, 王志玺, Yan Li
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On the Independencies Hidden in the Structure of a Probabilistic Logic Program [PDF]
International Conference on Logic Programming, 2023 Pearl and Verma developed d-separation as a widely used graphical criterion to reason about the conditional independencies that are implied by the causal structure of a Bayesian network.
Kilian Rückschloß, Felix Weitkämper
semanticscholar +1 more source
Sparse Random Signals for Fast Convergence on Invertible Logic
IEEE Access, 2021 This paper introduces sparse random signals for fast convergence on invertible logic. Invertible logic based on a network of probabilistic nodes (spins), similar to a Boltzmann machine, can compute functions bidirectionally by reducing the network energy
Naoya Onizawa +6 more
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NeuPSL: Neural Probabilistic Soft Logic [PDF]
International Joint Conference on Artificial Intelligence, 2022 In this paper, we introduce Neural Probabilistic Soft Logic (NeuPSL), a novel neuro-symbolic (NeSy) framework that unites state-of-the-art symbolic reasoning with the low-level perception of deep neural networks.
Connor Pryor +5 more
semanticscholar +1 more source
Research on Privacy Protection in Social Network Based on Stochastic Model Checking [PDF]
Jisuanji gongcheng, 2021 The privacy settings in static privacy strategies of the existing online social networks are not flexible and hard for quantitative verification.To address the problem,this paper proposes a dynamic privacy protection framework,which models social ...
LIU Yang, GAO Shiguo
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Iraqi Journal for Computer Science and Mathematics, 2022 The Boolean Satisfiability Problem (BSAT) is one of the most important decision problems in mathematical logic and computational sciences for determining whether or not a solution to a Boolean formula.. Hopfield neural network (HNN) is one of the major
Hamza Abubakar +2 more
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Hardware Architecture of Stochastic Computing Neural Network
Jisuanji kexue yu tansuo, 2021 Stochastic computing is a kind of logic calculation that converts binary into probabilistic coded digital pulse stream. At the cost of computing power and time delay, it has the computing advantages of low power consumption and high energy efficiency. In
CHEN Yuhao, SONG Yinjie, ZHU Yanan, GAO Yunfei, LI Hongge+
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