922 search results - page 134 / 185 » Learning Gaussian Process Models from Uncertain Data |
141
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SDM
2009
SIAM
15 years 11 months ago
2009
SIAM
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
283
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ICDE
2008
IEEE
17 years 2 months ago
2008
IEEE
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
144
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IDA
1999
Springer
15 years 6 months ago
1999
Springer
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
122
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UAI
2003
15 years 3 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
121
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VIS
2004
IEEE
16 years 3 months ago
2004
IEEE
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...