A Novel Belief Propagation-Based Probabilistic Multiple Hypothesis Tracking Algorithm for Multiple Resolvable Group Targets [PDF]
EntropyA key challenge in multiple group target tracking is to maintain consistent data association in the presence of dynamic evolutions, i.e., splitting and merging. This paper proposes a Belief Propagation-based Multiple Hypothesis Tracking framework.
Tianli Ma +3 more
doaj +2 more sources
A Low-Complexity Expectation Propagation Detector for OTFS
IET Signal ProcessingIn this paper, we propose a low-complexity expectation propagation (EP) detector for orthogonal time frequency space (OTFS) system with practical rectangular waveforms.
Xumin Pu +4 more
doaj +2 more sources
Cyber Defense Effectiveness Evaluation for ICS Under Uncertainty: A Dynamic Bayesian Network Approach with Information Entropy [PDF]
EntropyProactive defense planning in Industrial Control Systems (ICS) is critically constrained by two intertwined types of uncertainty: epistemic uncertainty, arising from the defender’s limited observability of the system state and incomplete knowledge of ...
Rongbao Kang +6 more
doaj +2 more sources
EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning [PDF]
Journal of Biomedical Informatics, 2013 Shuang Wang, Xiaoqian Jiang, Yuan Wu
exaly +2 more sources
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach [PDF]
International Conference on Learning Representations, 2023 The canonical formulation of federated learning treats it as a distributed optimization problem where the model parameters are optimized against a global loss function that decomposes across client loss functions. A recent alternative formulation instead
Han Guo +5 more
semanticscholar +1 more source
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers [PDF]
IEEE Transactions on Signal Processing, 2023 Deep neural networks (NNs) are considered a powerful tool for balancing the performance and complexity of multiple-input multiple-output (MIMO) receivers due to their accurate feature extraction, high parallelism, and excellent inference ability.
Xingyu Zhou +4 more
semanticscholar +1 more source
Expectation propagation on the diluted Bayesian classifier [PDF]
Physical Review E, 2021 24 pages, 6 ...
Braunstein, Alfredo +3 more
openaire +4 more sources
Entropic Matching for Expectation Propagation of Markov Jump Processes [PDF]
International Conference on Artificial Intelligence and Statistics, 2023 We propose a novel, tractable latent state inference scheme for Markov jump processes, for which exact inference is often intractable. Our approach is based on an entropic matching framework that can be embedded into the well-known expectation ...
Bastian Alt, H. Koeppl
semanticscholar +1 more source
MIMO Hybrid PD-SCMA NOMA Uplink Transceiver System
IEEE Access, 2022 The application of multiple-input multiple-output (MIMO) on power domain sparse code multiple access (PD-SCMA) systems would enhance their performance by increasing the multiplexing and diversity gains.
Simon Chege, Tom Walingo
doaj +1 more source
An Influence Propagation Model Based on Neighbor Structure [PDF]
Jisuanji gongcheng, 2021 The existing studies of social network structure influence mainly focus on the interactions between users and their neighbors,ignoring the influence of different topologies formed by different relationships between several neighbors,which is called ...
YIN Yueshuang, SUN Yanhong, LIU Yong
doaj +1 more source