Abstract: Class imbalance is a problem faced in machine learning and data science, which means classes are unevenly distributed across datasets. Machine learning algorithms assume that the datasets ...
From innocent career advice to casual vacation planning, these everyday expressions reveal an uncomfortable truth about class divide that most of us never notice... until someone's reaction makes us ...
Abstract: In this paper, data-driven tracking control based on improved proportional-integral-derivative (PID) neural network and Cohen-Coon approach (IPIDNN-CC) is proposed for a class of completely ...
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