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Asymptotical Stability and Stabilization of Continuous-Time Probabilistic Logic Networks
IEEE Transactions on Automatic Control, 2022Discrete-time probabilistic logic networks (DT-PLNs), of which probabilistic Boolean networks (PBNs) are a special type, are an important qualitative model for gene regulatory networks (GRNs). Although a DT-PLN can predict the long-term behavior of a GRN,
Yuqian Guo, Zhitao Li, Yang Liu, W. Gui
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A framework based on (probabilistic) soft logic and neural network for NLP
Applied Soft Computing, 2020Abstract Deep neural networks have emerged as a flexible framework that achieved state-of-the-art performance in many NLP applications such as machine translation, named entity recognition, sentiment analysis, and part-of-speech tagging. The main advantage of these neural models is their ability to learn useful representations without hand ...
Mourad Gridach
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Asymptotical Feedback Controllability of Continuous-time Probabilistic Logic Control Networks
2020 IEEE 16th International Conference on Control & Automation (ICCA), 2020This paper investigates the controllability problem of continuous-time probabilistic logic control networks (CT- PLCNs) under sampled-data feedback controls. Firstly, we point out that it is nonsense to define finite-time controllability with probability
Zhitao Li, Yuqian Guo, W. Gui
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The Web Conference, 2023
Markov logic network (MLN) is a powerful statistical modeling framework for probabilistic logic reasoning. Despite the elegancy and effectiveness of MLN, the inference of MLN is known to suffer from an efficiency issue.
Huang Fang +3 more
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Markov logic network (MLN) is a powerful statistical modeling framework for probabilistic logic reasoning. Despite the elegancy and effectiveness of MLN, the inference of MLN is known to suffer from an efficiency issue.
Huang Fang +3 more
semanticscholar +1 more source
Toward Semantic Communication Protocols: A Probabilistic Logic Perspective
IEEE Journal on Selected Areas in Communications, 2022Classical medium access control (MAC) protocols are interpretable, yet their task-agnostic control signaling messages (CMs) are ill-suited for emerging mission-critical applications.
Sejin Seo +5 more
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Complex Video Action Reasoning via Learnable Markov Logic Network
Computer Vision and Pattern Recognition, 2022Profiting from the advance of deep convolutional networks, current state-of-the-art video action recognition models have achieved remarkable progress.
Yang Jin, Linchao Zhu, Yadong Mu
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Reconstruction of Probabilistic Logical Networks [PDF]
2018 37th Chinese Control Conference (CCC), 2018 This paper deals with the reconstruction of probabilistic logical networks. Using semi-tensor product of matrix, probabilistic logical network is converted into algebraic form. In this paper, we propose an efficient algorithm for reconstruct the original multi-valued logical network from its probabilistic matrix.
Zhiqiang Li +5 more
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Generating Fake Documents Using Probabilistic Logic Graphs
IEEE Transactions on Dependable and Secure Computing, 2021Past research has shown that over 8 months may elapse between the time when a network is compromised and the time the attack is discovered. During this long gap, attackers can steal valuable intellectual property from the victim. The recent FORGE system [
Qian Han +5 more
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A Probabilistic Logic Programming Based Model for Network Forensics
, 2015 Network forensics is the science that addresses the capture, recording and analysis of network events and traffic for detecting intrusions and investigating them, attributing blame and supporting a case against potential intruders in an appropriate court of law. Network forensics involves post mortem investigation of the attack.
Changwei Liu
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Probabilistic neural-logic networks
International Joint Conference on Neural Networks, 1989Summary form only given. Recently, a novel class of networks called neural-logic networks was proposed by the authors' research group to integrate the logical reasoning capability with the concepts and techniques of the conventional neural network approach.
null Teh, null Chan, null Hsu, null Loe
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