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» Predicting query performance
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VLDB
2005
ACM
115views Database» more  VLDB 2005»
16 years 1 days ago
KLEE: A Framework for Distributed Top-k Query Algorithms
This paper addresses the efficient processing of top-k queries in wide-area distributed data repositories where the index lists for the attribute values (or text terms) of a query...
Sebastian Michel, Peter Triantafillou, Gerhard Wei...
SIGMOD
2001
ACM
146views Database» more  SIGMOD 2001»
16 years 6 months ago
On Supporting Containment Queries in Relational Database Management Systems
Virtually all proposals for querying XML include a class of query we term "containment queries". It is also clear that in the foreseeable future, a substantial amount of...
Chun Zhang, Jeffrey F. Naughton, David J. DeWitt, ...
MM
2005
ACM
164views Multimedia» more  MM 2005»
16 years 3 days ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang
IPPS
2005
IEEE
16 years 4 days ago
Predicting Cache Space Contention in Utility Computing Servers
The need to provide performance guarantee in high performance servers has long been neglected. Providing performance guarantee in current and future servers is difficult because ï...
Yan Solihin, Fei Guo, Seongbeom Kim
ML
2000
ACM
15 years 6 months ago
Randomizing Outputs to Increase Prediction Accuracy
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
Leo Breiman