For centuries, humans have assumed that our thinking errors set us apart from the rest of the animal kingdom. From misjudging risks to seeing patterns that aren’t there, we like to imagine that our ...

In this article, a Bayesian model for a constrained linear regression problem is studied. The constraints arise naturally in the context of predicting the new crop of apples for the year ahead. We ...

Despite the vast diversity of human languages, specific grammatical patterns appear again and again. A new study reveals that ...

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

In some languages, you may see the message “Something happened” with the only option being the CLOSE button. When you click the button, the installation terminates. This has been noticed if you choose ...

Introduction Depressed mood is a psychological state characterised by sadness or loss of interest in activities, is a common symptom that accompanies most major mental disorders. It is therefore ...

Introduction Adolescence is a key period of development for mental health; however, little is known about how (cumulative) daily life experiences impact long-term mental health development in this ...

This paper introduces a sequential decomposition strategy based on a rigorous mixed-integer linear programming (MILP) model to address the integrated Production Routing Problem (PRP) of large-scale ...

Abstract: Bayesian optimization (BO) struggles with data scarcity and poor scalability in high-dimensional expensive many-objective optimization problems (HEMaOPs). To address this, we propose a novel ...