Diet models based on goal programming (GP) are valuable tools in designing diets that comply with nutritional, palatability and cost constraints. Results derived from GP models are usually very ...

With the rapid development of artificial intelligence technology, human-machine dialogue has become a standard feature of today's AI products. However, making these dialogues more efficient, natural, ...

Functional principal component regression (FPCR) is a promising new method for regressing scalar outcomes on functional predictors. In this article, we present a theoretical justification for the use ...

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

Incomplete data models typically involve strong untestable assumptions about the missing data distribution. As inference may critically depend on them, the importance of sensitivity analysis is well ...

When thermal simulation software isn't available, or for quicker results, designers can apply linear superposition to model the thermal performance of their power systems. This article is the first in ...