We consider the problem of Adverse Selection and optimal derivative design within a Principal-Agent framework. The principal’s income is exposed to non-hedgeable risk factors ar...
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The i...
We consider problems of provisioning an excludable public good amongst n potential members of a peer-to-peer system who are able to communicate information about their private pre...
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
: Ambient Intelligence scenarios describe situations in which multitude of devices and agents live together. In this kind ofscenarios is frequent to see the appearance ofconflicts ...