Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...