31 search results - page 1 / 7 » Causal Trees |
UAI
2008
13 years 6 months ago
2008
Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront ...
AI
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
CORR
2011
Springer
13 years 11 days ago
2011
Springer
—We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimoni...
ISITA
2010
13 years 3 months ago
2010
Abstract--Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measure...
ECAI
1998
Springer
13 years 9 months ago
1998
Springer
This paper proposes a logic for causal based on event trees. Event trees provide a natural and familiar framework for probability and decision theory, but they lack the modularity...