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» Statistical Performance Modeling and Optimization
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121
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CGO
2007
IEEE
15 years 9 months ago
Iterative Optimization in the Polyhedral Model: Part I, One-Dimensional Time
Emerging microprocessors offer unprecedented parallel computing capabilities and deeper memory hierarchies, increasing the importance of loop transformations in optimizing compile...
Louis-Noël Pouchet, Cédric Bastoul, Al...
143
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SIGIR
2012
ACM
13 years 5 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
116
Voted
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 3 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
146
Voted
PVLDB
2008
160views more  PVLDB 2008»
15 years 2 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
113
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INFOCOM
2009
IEEE
15 years 9 months ago
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
Animashree Anandkumar, Meng Wang, Lang Tong, Anant...