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IJAR
2010
130views more  IJAR 2010»
15 years 5 months ago
Learning locally minimax optimal Bayesian networks
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...
Tomi Silander, Teemu Roos, Petri Myllymäki
INFOCOM
2010
IEEE
15 years 5 months ago
Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow
—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...
PVLDB
2008
167views more  PVLDB 2008»
15 years 5 months ago
Keyword search on external memory data graphs
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...
IR
2010
15 years 5 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
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...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
SIGIR
2008
ACM
15 years 5 months ago
Searching blogs and news: a study on popular queries
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...
Aixin Sun, Meishan Hu, Ee-Peng Lim