Abstract: Performing highly accurate representation learning on a high-dimensional and sparse (HiDS) matrix is of great significance in a big data-related application such as a recommender system. A ...
Abstract: This article aims to reduce the ripple current in the inductor used in a quasi Z-source ultra sparse matrix converter (USMC). The main limitations of the conventional USMC are limited ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results