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» On Conditions for Linearity of Optimal Estimation
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WSC
2008
15 years 1 days ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Optimal Linear Combination of Denoising Schemes for Efficient Removal of Image Artifacts
Different denoising schemes show dissimilar types of artifacts. For example, certain transform-based denoising schemes could introduce artifacts in smooth regions while others eli...
Ramin Eslami, Hayder Radha
ICML
2004
IEEE
15 years 10 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
79
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CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
14 years 11 months ago
Information fusion strategies from distributed filters in packet-drop networks
Abstract-- In this paper we study different distributed estimation schemes for stochastic discrete time linear systems where the communication between the sensors and the estimatio...
Alessandro Chiuso, Luca Schenato
EMNLP
2009
14 years 7 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li