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To address this issue, a domain adversarial fault diagnosis method based on features and joint distribution migration alignment (FJDMA) is proposed. First, a feature aligner is designed to learn more ...
Based on the above work, we propose a Joint-wise Distributed Perception Graph Convolutional Network (JDP-GCN). The experiments on three widely used datasets: NTU RGB+D 60, NTU RGB+D 120, and NW-UCLA, ...
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We used a built-in Bayes server tool to identify potential features, followed by building the structure of the directed acyclic graph using a structural learning ... we employed a DBN that captures ...
For a coin flip, heads or tails each has a probability of occurring 50% of the time (p = 0.50), so it would be plotted on a chart with a line from the y-axis at 0.50. A uniform distribution has ...
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