We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
—The inherent support in routers (SNMP counters or NetFlow) is not sufficient to diagnose performance problems in IP networks, especially for flow-specific problems where the ...
Myungjin Lee, Nick G. Duffield, Ramana Rao Kompell...
Keyword search on graph structured data has attracted a lot of attention in recent years. Graphs are a natural "lowest common denominator" representation which can combi...
Bhavana Bharat Dalvi, Meghana Kshirsagar, S. Sudar...
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Blog/news search engines are very important channels to reach information about the real-time happenings. In this paper, we study the popular queries collected over one year perio...