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NIPS
2003
15 years 8 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
CSDA
2007
134views more  CSDA 2007»
15 years 6 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
SIGMOD
2010
ACM
149views Database» more  SIGMOD 2010»
15 years 1 months ago
On models and query languages for probabilistic processes
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
Daniel Deutch, Tova Milo
PDCAT
2004
Springer
16 years 4 days ago
A Componentized Approach to Grid Enabling Seismic Wave Modeling Application
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...
BIBE
2006
IEEE
138views Bioinformatics» more  BIBE 2006»
16 years 25 days ago
Assigning Schema Labels Using Ontology And Hueristics
Bioinformatics data is growing at a phenomenal rate. Besides the exponential growth of individual databases, the number of data depositories is increasing too. Because of the comp...
Xuan Zhang, Ruoming Jin, Gagan Agrawal