2914 search results - page 96 / 583 » Learning and Inference with Constraints |
ICPR
2002
IEEE
14 years 11 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
ECOOP
2011
Springer
12 years 9 months ago
2011
Springer
Object ownership is useful for many applications, including program verification, thread synchronization, and memory management. However, the annotation overhead of ownership type...
ISBI
2009
IEEE
14 years 4 months ago
2009
IEEE
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
NDSS
2009
IEEE
14 years 4 months ago
2009
IEEE
SybilInfer is an algorithm for labelling nodes in a social network as honest users or Sybils controlled by an adversary. At the heart of SybilInfer lies a probabilistic model of h...
SAT
2009
Springer
14 years 4 months ago
2009
Springer
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...