Abstract: The effectiveness of existing domain generalization-based fault diagnosis (DGFD) methods usually relies on the assumption that the label space of the source domain (SD) is consistent with ...
College of Engineering, Department of Computer Science, University of Illinois Chicago, Chicago, Illinois 60607, United States School of Public Health, Division of Environmental and Occupational ...
We are grateful for the many thoughtful comments and feedback from the community regarding DFT, ranging from discussions of related ideas to reports of its application in different scenarios. We have ...
Abstract: Recently, there has been significant progress in understanding the convergence and generalization properties of gradient-based methods for training overparameterized learning models. However ...
Categorization involves grouping information to make inferences and support novel decisions. In the laboratory, category learning tasks commonly involve trial-and ...
To consider the relationship between generalization, explanation, and understanding, let us consider an example. Suppose we have two intelligent agents, AG1 and AG2, and suppose we ask both to ...
The delicate balance between discrimination and generalization of responses is crucial for survival in our ever-changing environment. In particular, it is important to understand how stimulus ...
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