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» Approximate Probabilistic Model Checking
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UAI
1998
13 years 9 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 7 months ago
Cross-Entropy method: convergence issues for extended implementation
The cross-entropy method (CE) developed by R. Rubinstein is an elegant practical principle for simulating rare events. The method approximates the probability of the rare event by...
Frédéric Dambreville
MT
2010
96views more  MT 2010»
13 years 6 months ago
Monte Carlo techniques for phrase-based translation
Recent advances in statistical machine translation have used approximate beam search for NP-complete inference within probabilistic translation models. We present an alternative ap...
Abhishek Arun, Barry Haddow, Philipp Koehn, Adam L...
SIGGRAPH
1997
ACM
13 years 11 months ago
Fake fur rendering
A probabilistic lighting model is presented for thin coats of fur over skin. Previous methods for rendering furry objects and creatures have addressed the case where individual st...
Dan B. Goldman
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
14 years 2 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...