Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
As part of a more extensive study of reading-related practices, we have explored how people share information they encounter in their everyday reading as a complement to the more ...
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
Enterprise search is challenging for several reasons, notably the dynamic terminology and jargon that are specific to the enterprise domain. This challenge is partly addressed by...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...