548 search results - page 32 / 110 » Iterated importance sampling in missing data problems |
109
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CIBCB
2005
IEEE
15 years 6 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
113
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TON
2010
14 years 11 months ago
2010
— Despite significant efforts to obtain an accurate picture of the Internet’s connectivity structure at the level of individual autonomous systems (ASes), much has remained un...
90
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CSDA
2008
15 years 22 days ago
2008
: Unit nonresponse and item nonresponse in sample surveys are a typical problem of nonresponse which can be handled by weighting adjustment and imputation methods, respectively. Th...
126
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ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
84
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SCANGIS
2003
15 years 2 months ago
2003
Discrete sampling data is used in several environmental studies to create maps in order to support decision-making processes. The decision maps represent an increasing importance i...