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ICASSP
2011
IEEE
12 years 11 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
WSPMaker: a web tool for calculating selection pressure in proteins and domains using window-sliding
Background: In the study of adaptive evolution, it is important to detect the protein coding sites where natural selection is acting. In general, the ratio of the rate of non-syno...
Yong Seok Lee, Tae-Hyung Kim, Tae-Wook Kang, Won-H...
PODS
2000
ACM
146views Database» more  PODS 2000»
13 years 12 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch
INFOCOM
2006
IEEE
14 years 1 months ago
Sketch Guided Sampling - Using On-Line Estimates of Flow Size for Adaptive Data Collection
— Monitoring the traffic in high-speed networks is a data intensive problem. Uniform packet sampling is the most popular technique for reducing the amount of data the network mo...
Abhishek Kumar, Jun Xu
WWW
2003
ACM
14 years 8 months ago
Adaptive on-line page importance computation
The computation of page importance in a huge dynamic graph has recently attracted a lot of attention because of the web. Page importance, or page rank is defined as the fixpoint o...
Serge Abiteboul, Mihai Preda, Gregory Cobena