3 search results - page 1 / 1 » Probabilistic Backward and Forward Reasoning in Stochastic R... |
ICML
2010
IEEE
13 years 5 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...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
NIPS
1998
13 years 5 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 ...