113 search results - page 3 / 23 » Lifted Probabilistic Inference for Asymmetric Graphical Mode... |
FTML
2008
14 years 10 months ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
JMLR
2010
14 years 5 months ago
2010
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
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PVLDB
2008
14 years 10 months ago
2008
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
We present a probabilistic graphical model for point set matching. By using a result about the redundancy of the pairwise distances in a point set, we represent the binary relation...
AAAI
2010
14 years 12 months ago
2010
Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world ta...