Many scheduling problems reside in uncertain and dynamic environments – tasks have a nonzero probability of failure and may need to be rescheduled. In these cases, an optimized ...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Iceberg-cube mining is to compute the GROUP BY partitions, for all GROUP BY dimension lists, that satisfy a given aggregate constraint. Previous works have pushed anti-monotone co...
Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong...
This paper presents a novel, unified distributed constraint satisfaction framework based on automated negotiation. The Distributed Constraint Satisfaction Problem (DCSP) is one t...
Searching an organization’s document repositories for experts provides a cost effective solution for the task of expert finding. We present two general strategies to expert se...