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» Entropy and Inference, Revisited
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CORR
2011
Springer
191views Education» more  CORR 2011»
13 years 1 months ago
Picturing classical and quantum Bayesian inference
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum...
Bob Coecke, Robert W. Spekkens
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 1 months ago
Inference Analysis in Privacy-Preserving Data Re-publishing
Privacy-Preserving Data Re-publishing (PPDR) deals with publishing microdata in dynamic scenarios. Due to privacy concerns, data must be disguised before being published. Research...
Guan Wang, Zutao Zhu, Wenliang Du, Zhouxuan Teng
ICC
2007
IEEE
125views Communications» more  ICC 2007»
14 years 1 months ago
Scalable Fault Diagnosis in IP Networks using Graphical Models: A Variational Inference Approach
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
Rajesh Narasimha, Souvik Dihidar, Chuanyi Ji, Stev...
ECAI
1998
Springer
13 years 11 months ago
Nonmonotonic Reasoning in Probabilistics
In probabilistics, reasoning at optimum entropy (ME-reasoning) has proved to be a most sound and consistent method for inference. This paper investigates its properties in the fram...
Gabriele Kern-Isberner
FTML
2008
185views more  FTML 2008»
13 years 6 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan