Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To under...
Alex L. B. Leach, James P. J. Chong, Kelly R. Rede...
People come to online communities seeking information, encouragement, and conversation. When a community responds, participants benefit and become more committed. Yet interactions...
Jaime Arguello, Brian S. Butler, Elisabeth Joyce, ...
We give a polynomial-time algorithm for the following problem: Given a degree sequence in which each degree is bounded from above by a constant, select, uniformly at random, an un...