Sciweavers

1080 search results - page 21 / 216
» The Complexity of Belief Update
Sort
View
UAI
1997
15 years 1 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
JANCL
2008
109views more  JANCL 2008»
14 years 11 months ago
Conditionalization and total knowledge
This paper employs epistemic logic to investigate the philosophical foundations of Bayesian updating in belief revision. By Bayesian updating, we understand the tenet that an agen...
Ian Pratt-Hartmann
ECAI
2010
Springer
15 years 23 days ago
Foundations of Tree-like Local Model Updates
Abstract. Model update is an approach to enhance model checking functions by providing computer aided modifications in system development [2, 9]. It has been observed that one majo...
Yan Zhang, Michael Kelly, Yi Zhou
NIPS
2007
15 years 1 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
ICASSP
2011
IEEE
14 years 3 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...