Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

Abstract: The key interest of machine learning is conventionally training the machine from data that have underlying distribution such as data should have predetermined distribution. Such a constraint ...

A global simulation study suggests that pandemic school shutdowns did more than interrupt learning, they may have widened inequality and reduced children’s chances of surpassing their parents’ ...

Abstract: Class imbalance is a very challenging problem in data science, affecting the development of several application fields. This problem also plagues the automatic interpretation of remote ...