Abstract: Support vector machine (SVM) is one of the most powerful techniques for supervised classification. However, the performances of SVMs are based on choosing the proper kernel functions or ...
Find hidden heterogeneity in data -- are all samples the same? Identify context-specific predictors -- are there different reasons for outcomes? Enable domain adaptation -- can learned models ...
Abstract: This article principally presents the adaptive fuzzy dynamic event-triggered output-feedback consensus tracking control problem for constrained nonlinear multiagent systems encountering ...
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