People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous research has ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

School of Psychology, Universidad Autónoma de Nuevo León, Monterrey, Mexico. Consequently, AS seems to be an excellent measure of asymmetry, but it is not being used in methodological or applied ...

There has been growing attention to multi-class classification problems, particularly those challenges of imbalanced class distributions. To address these challenges, various strategies, including ...

Abstract: The need for extracting a small sample from a large amount of real data, possibly streaming, arises routinely in learning problems, e.g., for storage, to ...

Abstract: We present a sampling-free probabilistic inversion of latent target property based on the principles of expectation propagation where we estimate the joint distribution of the target ...

Objectives To, based on diagnostic interviews, investigate the distribution of mental disorders among a sample of Norwegian elite athletes with ‘at-risk scores’ on a self-report questionnaire ...

Effective sampling is essential in determining the state of the blend in a mixer and in downstream equipment such as a bin, hopper, or packaging system. Though information on mechanisms of particle ...