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...
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...
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...
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...
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...