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» When causality matters for prediction
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AAAI
2011
12 years 5 months ago
Transportability of Causal and Statistical Relations: A Formal Approach
We address the problem of transferring information learned from experiments to a different environment, in which only passive observations can be collected. We introduce a formal ...
Judea Pearl, Elias Bareinboim
ESANN
2007
13 years 7 months ago
Causality analysis of LFPs in micro-electrode arrays based on mutual information
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
Nikolay V. Manyakov, Marc M. Van Hulle
HYBRID
2001
Springer
13 years 10 months ago
Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality
Efficient algorithms exist for fault detection and isolation of physical systems based on functional redundancy. In a qualitative approach, this redundancy can be captured by a tem...
Pieter J. Mosterman
OR
2010
Springer
13 years 3 months ago
Modeling organic carbon and carbon-mediated soil processes in DSSAT v4.5
Cropping systems models have evolved over the last four decades in response to the demand for modeling to address more complex questions, including issues on sustainable productio...
Cheryl H. Porter, J. W. Jones, S. Adiku, A. J. Gij...
KES
2007
Springer
13 years 11 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan