Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...
At one Seattle grocery store, identical baskets ranged from roughly $114 to $124, a spread of more than nine dollars on a ...
Abstract: This paper proposes a method for obtaining nonlinear models of distribution grid based on available measurements from the power grid. We formulate a maximum likelihood estimation (MLE) ...
Abstract: This letter proposes a low-complexity off-grid inverse-free sparse Bayesian learning (OG-IFSBL) algorithm for OTFS channel estimation that avoids computationally prohibitive matrix ...
Introduction: The limitations of costly laboratory methods could be addressed by advances in wearable sensors and associated machine learning algorithms (13). Key advantages of wearable technologies ...
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