339 search results - page 7 / 68 » Approximate Inference in Probabilistic Graphical Models with... |
COLING
2008
13 years 8 months ago
2008
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
PVLDB
2008
13 years 6 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
14 years 23 days 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...
IJCAI
2001
13 years 8 months ago
2001
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
JMLR
2008
13 years 7 months ago
2008
In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...