This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Learn catching and shiny hunting basics, top shiny hunting methods, shiny odds, mindset tips, and essential shiny Pokémon ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Abstract: Deep reinforcement learning (DRL) has demonstrated significant potential in industrial manufacturing domains such as workshop scheduling and energy system management. However, due to the ...

Abstract: This paper presents a detailed comparative analysis of two data-driven probabilistic forecasting methods - a density-based Empirical Copula (EC) and a non-parametric Quantile Regression (QR) ...

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

1 Centre de Recherche en Infrastructure Environnement et Technologie (CRIET), Faculty of Engineering Sciences, Université du Burundi, Bujumbura, Burundi. 2 Faculty of Sciences, Université Catholique ...

To address the fault identification challenge in distribution networks, a method leveraging a mixture of the von Mises–Fisher (mov-MF) distribution model for fault probability identification is ...