CORR
2012
Springer
12 years 6 months ago
2012
Springer
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
JMLR
2010
13 years 5 months ago
2010
The NIPS 2008 workshop on causality provided a forum for researchers from different horizons to share their view on causal modeling and address the difficult question of assessing...
INFSOF
2007
13 years 10 months ago
2007
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
COGSCI
2010
13 years 10 months ago
2010
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
IJCAI
1997
14 years 1 days ago
1997
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
UAI
1998
14 years 1 days ago
1998
Causal models defined in terms of a collection of equations, as defined by Pearl, are axiomatized here. Axiomatizations are provided for three successively more general classes of...
IJCAI
2003
14 years 2 days ago
2003
This paper reconsiders the notions of actual cause and explanation in functional causal models. We demonstrate that isomorphic causal models can generate intuitively different cau...
UAI
2001
14 years 2 days ago
2001
We present a sound and complete calculus for causal relevance that uses Pearl's functional causal models as semantics. The calculus consists of axioms and rules of inference ...
IROS
2006
IEEE
14 years 4 months ago
2006
IEEE
— This paper presents an adaptive causal model method (adaptive CMM) for fault diagnosis and recovery in complex multi-robot teams. We claim that a causal model approach is effec...
FM
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. Predictive analysis aims at detecting concurrency errors during runtime by monitoring a concrete execution trace of a concurrent program. In recent years, various models ...