249 search results - page 3 / 50 » Learning Causal Models of Relational Domains |
LREC
2008
13 years 8 months ago
2008
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
AAAI
2011
12 years 7 months ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
JMLR
2006
13 years 7 months ago
2006
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
MICAI
2005
Springer
14 years 25 days ago
2005
Springer
A powerful and useful approach for modeling knowledge and qualitative reasoning is the Cognitive Map. The background of Cognitive Maps is the research about learning environments c...
UAI
1993
13 years 8 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...