Abstract: We propose a robust recurrent kernel online learning (RRKOL) algorithm based on the celebrated real-time recurrent learning approach that exploits the kernel trick in a recurrent online ...
Ultra Wide Band (UWB) technology has a wide range of applications in indoor positioning due to its high precision and strong anti-interference ability. However, in complex indoor environments, UWB ...
Background There is limited information about Achilles tendon disorders in professional football. Aims To investigate the incidence, injury circumstances, lay-off times and reinjury rates of Achilles ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
A long-standing challenge in turbulence has been to connect individual coherent structures to the more well-known statistical properties of the flow. Here, we establish such a connection by ...
Image recognition has made significant progress in recent years, majorly in the development of powerful algorithms that can analyze and interpret visual data with unparalleled accuracy. In this ...
James Chen, CMT is an expert trader, investment adviser, and global market strategist. Andy Smith is a Certified Financial Planner (CFP®), licensed realtor and educator with over 35 years of diverse ...
Abstract: This article investigates the use of extended Kalman filtering to train recurrent neural networks with rather general convex loss functions and regularization terms on the network parameters ...
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