Based on this framework, we regard the training of MQRMFNN as a large-scale multi-objective problem (MOP) to achieve the trade-off on each metric of the probability distribution. But optimizing ...

It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to ...

Well, on Friday, he did. During the Cubs' 4th of July matchup with the Cardinals, PCA ran down a ball in centerfield that had a 0% catch probability.

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

Solving multimodal multi-objective optimization problems (MMOPs) via evolutionary algorithms receives increasing attention recently. Maintaining good diversity in both decision and objective spaces is ...

Keeping Earth safe from asteroids isn’t just spotting them – it’s also helping people understand what a high-impact probability with Earth means.

Determining whether a research risk meets or exceeds a regulatory standard of risk acceptability is difficult. Recently a framework called the systematic evaluation of research risks (SERR) has been ...