Joint Topology Learning and Graph Signal Recovery Using Variational Bayes in Non-Gaussian Noise
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3109339
Abstract: This brief proposes a joint graph signal recovery and topology learning algorithm using a Variational Bayes (VB) framework in the case of non-Gaussian measurement noise. It is assumed that the graph signal is Gaussian Markov… read more here.
Keywords: topology; noise; non gaussian; graph signal ... See more keywords
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.3039681
Abstract: As a type of evolving-fuzzy system, the evolving-fuzzy-neuro (EFN) system uses the structure inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN system can inherit the advantages of neural… read more here.
Keywords: topology; fuzzy random; data regression; streaming data ... See more keywords