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VLDB
2006
ACM
162views Database» more  VLDB 2006»
16 years 1 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 2 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
128
Voted
ANOR
2010
130views more  ANOR 2010»
14 years 11 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 1 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 7 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...