Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2970336
Abstract: This paper considers optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie in low-dimensional… read more here.
Keywords: part; learning networks; adaptation learning; subspace ... See more keywords
Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.855421
Abstract: In machine learning community, graph-based semi-supervised learning (GSSL) approaches have attracted more extensive research due to their elegant mathematical formulation and good performance. However, one of the reasons affecting the performance of the GSSL method… read more here.
Keywords: multi model; model adaptation; adaptation learning; based emotion ... See more keywords