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» Aggregating Learned Probabilistic Beliefs
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ICML
2004
IEEE
15 years 10 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
ICNP
2005
IEEE
15 years 3 months ago
Expected Convergence Properties of BGP
Border Gateway Protocol (BGP) is the de facto standard used for interdomain routing. Since packet forwarding may not be possible until stable routes are learned, it is not only cr...
Ramesh Viswanathan, Krishan K. Sabnani, Robert J. ...
ACL
2011
14 years 1 months ago
Content Models with Attitude
We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a ...
Christina Sauper, Aria Haghighi, Regina Barzilay
MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 3 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
PR
2010
129views more  PR 2010»
14 years 8 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne