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VLDB
2006
ACM
162views Database» more  VLDB 2006»
16 years 4 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 4 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
ANOR
2010
130views more  ANOR 2010»
15 years 1 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
SIGMETRICS
2008
ACM
117views Hardware» more  SIGMETRICS 2008»
15 years 4 months ago
Epidemic live streaming: optimal performance trade-offs
Several peer-to-peer systems for live streaming have been recently deployed (e.g. CoolStreaming, PPLive, SopCast). These all rely on distributed, epidemic-style dissemination mech...
Thomas Bonald, Laurent Massoulié, Fabien Ma...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 10 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...