1450 search results - page 10 / 290 » Complexity of Inference in Graphical Models |
JPDC
2010
13 years 6 months ago
2010
—We present the design and implementation of a parallel exact inference algorithm on the Cell Broadband Engine (Cell BE). Exact inference is a key problem in exploring probabilis...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
SIGECOM
2006
ACM
14 years 1 months ago
2006
ACM
We present a reduction from graphical games to Markov random fields so that pure Nash equilibria in the former can be found by statistical inference on the latter. Our result, wh...
AI
2011
Springer
12 years 11 months ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...