40 search results - page 1 / 8 » Parallelizing a Convergent Approximate Inference Method |
AI
2011
Springer
12 years 8 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...
NIPS
2003
13 years 5 months ago
2003
Belief propagation on cyclic graphs is an efficient algorithm for computing approximate marginal probability distributions over single nodes and neighboring nodes in the graph. I...
SC
1995
ACM
13 years 8 months ago
1995
ACM
Matrix-vector products (mat-vecs) form the core of iterative methods used for solving dense linear systems. Often, these systems arise in the solution of integral equations used i...
JMLR
2010
12 years 11 months ago
2010
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
ICA
2012
Springer
12 years 2 days ago
2012
Springer
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...