Abstract: The gradient-based meta-learning algorithm gains meta-learning parameters from a pool of tasks. Starting from the obtained meta-learning parameters, it can achieve better results through ...
Fed Chairman Kevin Warsh told reporters that some of the data the Federal Reserve and other government agencies use is dependent on “old fashioned survey methods” that look very little like the ...
Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
Abstract: Robotic assembly in dynamic and unstructured environments poses challenges for recent methods, due to background noise and wide-ranging errors. Directly learning from environments relies on ...
Background: Critical thinking is a crucial skill in the nursing profession and must be fostered through nursing education. Simulation-based learning (SBL) with technological modalities is a ...
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