Abstract: Multi-label feature selection is an emerging topic that focuses on selecting the relevant and informative features (attributes or variables) from a dataset when dealing with multi-label ...
Abstract: We consider the problem of parsimoniously selecting sensors or scheduling sensor observation actions to optimize the covariance of a predicted system state. In contrast to previous work on ...
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