407 search results - page 24 / 82 » Query Estimation by Adaptive Sampling |
138
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FOCS
2010
IEEE
14 years 7 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
SSDBM
2010
IEEE
14 years 7 months ago
2010
IEEE
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
79
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HPCC
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Energy consumption is a major factor that limits the performance of sensor applications. Sensor nodes have varying sampling rates since they face continuously changing en...
92
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SDM
2012
SIAM
12 years 12 months ago
2012
SIAM
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...