1420 search results - page 44 / 284 » Decision Making Using Probabilistic Inference Methods |
ENTCS
2006
14 years 9 months ago
2006
In the past, partial order reduction has been used successfully to combat the state explosion problem in the context of model checking for non-probabilistic systems. For both line...
80
Voted
CORR
2010
Springer
14 years 9 months ago
2010
Springer
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
ENC
2005
IEEE
15 years 3 months ago
2005
IEEE
Following the argumentation framework and semantics proposed by Dung, we are interested in the problem of deciding which set of acceptable arguments support the decision making in...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...