This study investigates the processing differences of emotional representation of negation between Portuguese and Chinese among African multilingual speakers, with a focus on the joint moderating ...
The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...
Abstract: Disentanglement learning aims to separate explanatory factors of variation so that different attributes of the data can be well characterized and isolated, which promotes efficient inference ...
While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...
Abstract: This article addresses the integration of model-driven and data-driven approaches for robust hybrid-driven state estimation under limited data and model uncertainties. An unsupervised hybrid ...
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