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DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
15 years 10 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 10 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
EICS
2009
ACM
15 years 10 months ago
A formal approach supporting the comparative predictive assessment of the interruption-tolerance of interactive systems
This paper presents an approach for investigating in a predictive way potential disruptive effects of interruptions on task performance in a multitasking environment. The approach...
Philippe A. Palanque, Marco Winckler, Jean-Fran&cc...
ATAL
2006
Springer
15 years 10 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer
CC
2006
Springer
122views System Software» more  CC 2006»
15 years 10 months ago
Context-Sensitive Points-to Analysis: Is It Worth It?
We present the results of an empirical study evaluating the precision of subset-based points-to analysis with several variations of context sensitivity on Java benchmarks of signif...
Ondrej Lhoták, Laurie J. Hendren
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