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» Analysis and Application of Adaptive Sampling
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TON
2008
84views more  TON 2008»
13 years 9 months ago
Trajectory sampling with unreliable reporting
We define and evaluate methods to perform robust network monitoring using trajectory sampling in the presence of report loss. The first challenge is to reconstruct an unambiguous s...
Nick G. Duffield, Matthias Grossglauser
RECOMB
2004
Springer
14 years 10 months ago
Multiple organism gene finding by collapsed gibbs sampling
The Gibbs sampling method has been widely used for sequence analysis after it was successfully applied to the problem of identifying regulatory motif sequences upstream of genes. ...
Sourav Chatterji, Lior Pachter
WSC
2007
14 years 5 days ago
Importance sampling of compounding processes
Compounding processes, also known as perpetuities, play an important role in many applications; in particular, in time series analysis and mathematical finance. Apart from some s...
Jose Blanchet, Bert Zwart
KBSE
2007
IEEE
14 years 4 months ago
Iterative model-driven development of adaptable service-based applications
Flexibility and interoperability make web services well suited for designing highly-customizable reactive service-based applications, that is interactive applications that can be ...
Leen Lambers, Hartmut Ehrig, Leonardo Mariani, Mau...
NIPS
2007
13 years 11 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...