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» Representing Process Variation with a Process Family
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NIPS
2007
14 years 8 days ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
ECML
2006
Springer
14 years 2 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
TIP
2008
130views more  TIP 2008»
13 years 10 months ago
Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
We introduce a nonlocal discrete regularization framework on weighted graphs of the arbitrary topologies for image and manifold processing. The approach considers the problem as a...
Abderrahim Elmoataz, Olivier Lezoray, Sébas...
FORTE
2001
14 years 7 days ago
A Family of Resource-Bound Real-Time Process Algebras
The Algebra of Communicating Shared Resources (ACSR) is a timed process algebra which extends classical process algebras with the notion of a resource. It takes the view that the ...
Insup Lee, Jin-Young Choi, Hee-Hwan Kwak, Anna Phi...
FTML
2008
185views more  FTML 2008»
13 years 11 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