926 search results - page 123 / 186 » Outliers and Bayesian Inference |
WEBI
2005
Springer
15 years 4 months ago
2005
Springer
Distributed Perception Networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering c...
80
Voted
ISIPTA
2003
IEEE
15 years 4 months ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
ACL
2008
15 years 8 days ago
2008
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
FLAIRS
2006
15 years 6 days ago
2006
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
NIPS
2003
15 years 6 days ago
2003
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...