Choice functions accept a set of alternatives as input and produce preferred subset these output. We study the problem learning such under conditions context-dependence preferences, which means that preference in favor certain choice alternative may depend on what other options are also available. In spite its practical relevance, this kind has received little attention so far. propose suitable...

Numerical similarity measures are used to de­ scribe the relative ranks of the similarity of ob­ jects or cases in many artificial intelligent systems. These measures are usually absolute and context­ independent. On the other hand, humans perceive context-dependent similarity. That is, the ranking of similarity between pairs of objects is varying under a changing context. We consider this prob...