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» Adaptive importance sampling in general mixture classes
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PODS
2000
ACM
146views Database» more  PODS 2000»
13 years 11 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
SENSYS
2004
ACM
14 years 24 days ago
Call and response: experiments in sampling the environment
Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled ...
Maxim A. Batalin, Mohammad H. Rahimi, Yan Yu, Duo ...
SIGIR
2006
ACM
14 years 1 months ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
JMLR
2010
184views more  JMLR 2010»
13 years 2 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
BIOCOMP
2008
13 years 8 months ago
Analysis of Microarray Titration Experiments
In this paper we introduce a novel approach for the analysis of microarray titration experiments. The test introduced here can be used more generally for drug-dosage effect or time...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...