1450 search results - page 62 / 290 » Complexity of Inference in Graphical Models |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
UAI
2008
13 years 10 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
ACSD
2004
IEEE
14 years 21 days ago
2004
IEEE
The design productivity gap has been recognized by the semiconductor industry as one of the major threats to the continued growth of system-on-chips and embedded systems. Ad-hoc s...
ECAI
2004
Springer
14 years 2 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
NPAR
2010
ACM
14 years 2 months ago
2010
ACM
This paper presents a system to automatically generate compact explosion diagrams. Inspired by handmade illustrations, our approach reduces the complexity of an explosion diagram ...