431 search results - page 1 / 87 » Information Flows in Causal Networks |
ADVCS
2008
13 years 3 months ago
2008
We introduce a notion of causal independence based on virtual intervention, which is a fundamental concept of the theory of causal networks. Causal independence allows for de ning ...
JMLR
2010
12 years 11 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
PROMISE
2010
12 years 11 months ago
2010
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
As a causality criterion we propose the conditional relative entropy. The relationship with information theoretic functionals mutual information and entropy is established. The con...
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 ...