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» Monte Carlo Methods for Process Algebra
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SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
12 years 10 months ago
ProApproX: a lightweight approximation query processor over probabilistic trees
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Pierre Senellart, Asma Souihli
ICCAD
2003
IEEE
205views Hardware» more  ICCAD 2003»
14 years 25 days ago
Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
Aseem Agarwal, David Blaauw, Vladimir Zolotov
ICML
2009
IEEE
14 years 8 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
IPPS
2010
IEEE
13 years 5 months ago
On the parallelisation of MCMC by speculative chain execution
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...
ICIP
2004
IEEE
14 years 9 months ago
Efficient proposal distributions for MCMC image segmentation
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
Timo Kostiainen, Jouko Lampinen