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UAI
2003
14 years 11 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
IPMI
2003
Springer
15 years 10 months ago
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
Jie Zhang, Anand Rangarajan
JMLR
2006
103views more  JMLR 2006»
14 years 9 months ago
Pattern Recognition for Conditionally Independent Data
In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
Daniil Ryabko
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 4 months ago
Non-uniform small-gain theorems for systems with unstable invariant sets
— We consider the problem of small-gain analysis of asymptotic behavior in interconnected nonlinear dynamic systems. Mathematical models of these systems are allowed to be uncert...
Ivan Tyukin, Erik Steur, Henk Nijmeijer, Cees van ...
IJAR
2010
91views more  IJAR 2010»
14 years 8 months ago
Inference and risk measurement with the pari-mutuel model
We explore generalizations of the pari-mutuel model (PMM), a formalization of an intuitive way of assessing an upper probability from a precise one. We discuss a naive extension o...
Renato Pelessoni, Paolo Vicig, Marco Zaffalon