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» Approximation schemes for clustering problems
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111
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NIPS
2003
15 years 5 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
135
Voted
NIPS
2004
15 years 5 months ago
Analysis of a greedy active learning strategy
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
Sanjoy Dasgupta
120
Voted
IJPP
2008
74views more  IJPP 2008»
15 years 3 months ago
Bandwidth Efficient All-to-All Broadcast on Switched Clusters
We develop an all-to-all broadcast scheme that achieves maximum bandwidth efficiency for clusters with tree topologies. Using our scheme for clusters with cut-through switches, an...
Ahmad Faraj, Pitch Patarasuk, Xin Yuan
118
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WMPI
2004
ACM
15 years 9 months ago
Cache organizations for clustered microarchitectures
Clustered microarchitectures are an effective organization to deal with the problem of wire delays and complexity by partitioning some of the processor resources. The organization ...
José González, Fernando Latorre, Ant...
123
Voted
ICAC
2007
IEEE
15 years 10 months ago
Approximation Modeling for the Online Performance Management of Distributed Computing Systems
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...
Dara Kusic, Nagarajan Kandasamy, Guofei Jiang