LiNGAM-SF: Causal Structural Learning Method with Linear Non-Gaussian Acyclic Models for Streaming Features
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS（2025）
关键词
Learning systems,Skeleton,Image edge detection,Cause effect analysis,Synthetic data,Functional magnetic resonance imaging,Feature extraction,Uncertainty,Training,Telecommunications,Causal identifiability,causal structure,latent confounders,linear non-Gaussian acyclic model (LiNGAM),streaming features (SFs)
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