249 search results - page 5 / 50 » Learning Causal Models of Relational Domains |
JMLR
2008
13 years 7 months ago
2008
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
COGSCI
2004
13 years 7 months ago
2004
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
AAAI
2012
11 years 9 months ago
2012
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...