339 search results - page 24 / 68 » Approximate Inference in Probabilistic Graphical Models with... |
107
click to vote
QEST
2008
IEEE
15 years 4 months ago
2008
IEEE
We tackle the problem of non robustness of simulation and bisimulation when dealing with probabilistic processes. It is important to ignore tiny deviations in probabilities becaus...
AAAI
2012
13 years 2 days ago
2012
The presence of non-symmetric evidence has been a barrier for the application of lifted inference since the evidence destroys the symmetry of the first-order probabilistic model....
106
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
NIPS
2004
14 years 11 months ago
2004
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...