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» A New Heuristic for Optimizing Large Queries
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BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
WWW
2008
ACM
14 years 8 months ago
Performance of compressed inverted list caching in search engines
Due to the rapid growth in the size of the web, web search engines are facing enormous performance challenges. The larger engines in particular have to be able to process tens of ...
Jiangong Zhang, Xiaohui Long, Torsten Suel
IJCSA
2008
108views more  IJCSA 2008»
13 years 7 months ago
Consistency Check Algorithms for Multi-Dimensional Preference Trade-Offs
: Skyline Queries have recently received a lot of attention due to their intuitive query capabilities. Following the concept of Pareto optimality all `best' database objects a...
Christoph Lofi, Wolf-Tilo Balke, Ulrich Güntz...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
NECO
2000
86views more  NECO 2000»
13 years 7 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp