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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
15 years 11 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
15 years 9 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
CIKM
2009
Springer
15 years 4 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
ICAC
2008
IEEE
15 years 4 months ago
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
— There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a ...
Dara Kusic, Jeffrey O. Kephart, James E. Hanson, N...
ECCV
2010
Springer
15 years 2 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....