Private information is typically modeled as signals. A joint probability distribution captures relationships between signals and between signals and relevant variables. In this paper, we define and contrast two types of signals: generated and interpreted. We demonstrate that even though the...

In this paper, we characterize a group's collective accuracy on a classification problem as a function of its diversity, size, and its member's individual accuracies. We first derive necessary and sufficient conditions on the individuals' classification models for the existence of an aggregation...