Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...
To paraphrase the famous musical title, a funny thing happened on the way to the upfronts this year. One by one, the four major broadcast network announced their 2026-27 lineups, and each of them ...
Abstract: The recommendation based on dynamic graph sequences aims to reveal complex evolutionary patterns in user-item interactions. Existing methods make predictions by encoding attribute contents ...
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