548 search results - page 80 / 110 » Iterated importance sampling in missing data problems |
117
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
107
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SDM
2009
SIAM
15 years 11 months ago
2009
SIAM
In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
123
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NIPS
2004
15 years 3 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
134
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DICTA
2003
15 years 3 months ago
2003
The mean shift (MS) algorithm is sensitive to local peaks. In this paper, we show both empirically and analytically that when using sample data, the reconstructed PDF may have fals...
130
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MLDM
2005
Springer
15 years 8 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...