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UAI
2004
13 years 10 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
FTML
2008
185views more  FTML 2008»
13 years 9 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
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
14 years 3 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
EOR
2008
200views more  EOR 2008»
13 years 9 months ago
A dynamic stochastic programming model for international portfolio management
We develop a multi-stage stochastic programming model for international portfolio management in a dynamic setting. We model uncertainty in asset prices and exchange rates in terms...
Nikolas Topaloglou, Hercules Vladimirou, Stavros A...
CONCUR
2004
Springer
14 years 2 months ago
Verifying Finite-State Graph Grammars: An Unfolding-Based Approach
We propose a framework where behavioural properties of finite-state systems modelled as graph transformation systems can be expressed and verified. The technique is based on the ...
Paolo Baldan, Andrea Corradini, Barbara König