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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results