142 search results - page 18 / 29 » Introduction to Causal Inference |
72
Voted
NIPS
2007
14 years 11 months ago
2007
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
AAAI
1998
14 years 11 months ago
1998
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
WABI
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we introduce a new method of combined synthesis and inference of biological signal transduction networks. A main idea of our method lies in representing observed cau...
71
Voted
ECAI
2004
Springer
15 years 3 months ago
2004
Springer
Controlling the sensing of an environment by an agent has been accepted as necessary for effective operation within most practical domains. Usually, however, agents operate in par...
81
Voted
FLAIRS
2009
14 years 7 months ago
2009
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...