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» Uncertainties in Bayesian Geometric Models
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CDC
2008
IEEE
132views Control Systems» more  CDC 2008»
15 years 2 months ago
Global symplectic uncertainty propagation on SO(3)
Abstract-- This paper introduces a global uncertainty propagation scheme for the attitude dynamics of a rigid body, through a combination of numerical parametric uncertainty techni...
Taeyoung Lee, Melvin Leok, N. Harris McClamroch
WSC
1998
15 years 1 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
84
Voted
UAI
2001
15 years 1 months ago
Hypothesis Management in Situation-Specific Network Construction
This paper considers the problem of knowledgebased model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay...
Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
ICIP
1994
IEEE
16 years 1 months ago
Tomographic Reconstruction Based on Flexible Geometric Models
When dealing with ill-posed inverse problems in data analysis, the Bayesian approach allows one to use prior information to guide the result toward reasonable solutions. In this w...
K. M. Hanson, G. S. Cunningham, G. R. Jennings Jr....
115
Voted
JMLR
2008
209views more  JMLR 2008»
15 years 10 days ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger