99 search results - page 4 / 20 » Learning Causal Structure from Overlapping Variable Sets |
VLDB
1998
ACM
13 years 12 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
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...
PRICAI
2000
Springer
13 years 11 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
SYNTHESE
2008
13 years 7 months ago
2008
We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an "...
ECSQARU
2001
Springer
14 years 8 days ago
2001
Springer
Abstract. Although we can build a belief network starting from any ordering of its variables, its structure depends heavily on the ordering being selected: the topology of the netw...