1412 search results - page 207 / 283 » Selectivity Estimation using Probabilistic Models |
176
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PVM
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Designing and tuning parallel applications with MPI, particularly at large scale, requires understanding the performance implications of different choices of algorithms ...
138
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3DPVT
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper we present a prototype system for image based localization in urban environments. Given a database of views of city street scenes tagged by GPS locations, the system...
152
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WSC
2008
15 years 7 months ago
2008
We consider the problem of selecting the best among several heavy-tailed systems using a large deviations perspective. In contrast to the light-tailed setting studied by Glynn and...
135
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BIBE
2007
IEEE
15 years 8 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
160
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...