Abstract: This paper addresses the problem of estimating the state of a linear system whose output measurements are transmitted over a communication channel subject to random packet losses. For such ...
Abstract: Cost-sensitive learning is a popular approach to addressing the problem of class imbalance for many classification algorithms in machine learning. However, most cost-sensitive algorithms are ...
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