An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both ...

Add a description, image, and links to the attentional-drift-diffusion topic page so that developers can more easily learn about it.

Abstract: Timely detection of concept drift plays a vital role in ensuring the stability and reliability of data-driven models. However, existing concept drift detection ... To address these issues, ...

To mitigate this problem, in this paper, we adopt a hierarchical offline reinforcement learning framework that extracts recurrent and spatio-temporally extended primitive skills from offline data ...

Rigorous model comparisons revealed that an extension of the recently proposed multi-attribute attentional drift diffusion model best explained choice and response times. According to this model, ...

Use Drift Paradise codes and stock up on cash in the drift-racing experience set in a typical Roblox environment. With tens of thousands ready to be redeemed, players can have early access to ...

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