In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
We investigate the decision process as applied to the practical task of choosing a financial portfolio. We developed PortfolioCompare, an interactive visual analytic decision sup...
Anya Savikhin, Hon Cheong Lam, Brian D. Fisher, Da...
— Daily life objects reveal natural similarities, which cannot be resolved with the perception of a single view. In this paper, we present an approach for object separation using...
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...