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JGO
2011
116views more  JGO 2011»
13 years 4 months ago
On generalized Ekeland's variational principle and equivalent formulations for set-valued mappings
We propose a very weak type of generalized distance called weak τ-function and use it to weaken the assumptions about lower semicontinuity in existing formulations of Ekeland’s ...
Phan Quoc Khanh, D. N. Quy
AAAI
2004
13 years 11 months ago
The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application
The General Motors Variation-Reduction Adviser is a knowledge system built on case-based reasoning principles that is currently in use in a dozen General Motors Assembly Centers. ...
Alexander P. Morgan, John A. Cafeo, Kurt Godden, R...
ICASSP
2008
IEEE
14 years 4 months ago
Generalized Gaussian Markov random field image restoration using variational distribution approximation
In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field prior utilizing variational distribution a...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICML
2009
IEEE
14 years 10 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
STAIRS
2008
109views Education» more  STAIRS 2008»
13 years 11 months ago
Representing Case Variations for Learning General and Specific Adaptation Rules
Adaptation is a task of case-based reasoning systems that is largely domain-dependant. This motivates the study of adaptation knowledge acquisition (AKA) that can be carried out th...
Fadi Badra, Jean Lieber