Sciweavers

UAI
1997
14 years 1 months ago
Structure and Parameter Learning for Causal Independence and Causal Interaction Models
We begin by discussing causal independence models and generalize these models to causal interaction models. Causal interaction models are models that have independent mechanisms w...
Christopher Meek, David Heckerman
ECML
2006
Springer
14 years 4 months ago
EM Algorithm for Symmetric Causal Independence Models
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
Rasa Jurgelenaite, Tom Heskes