Recent studies show some systems recommend different treatments for identical patients based only on demographic labels, a ...
Abstract: The high heterogeneity of Internet of Things (IoT) devices causes severe imbalance in network traffic data, and the cost of collecting and labeling sufficient intrusion samples is high or ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Section 1. Background. The Protecting Americans from Foreign Adversary Controlled Applications Act (the “Act”) (Public Law 118-50, Div. H) regulates “foreign adversary controlled applications,” ...
Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently “noisy.” Rice University computer scientists have developed algorithms ...
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
The Artificial Potential Field (APF) algorithm has been widely used for collision avoidance on unmanned ships. However, traditional APF methods have several defects that need to be addressed. To ...
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