528 search results - page 10 / 106 » Causal inference using the algorithmic Markov condition |
136
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JMLR
2011
14 years 4 months ago
2011
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
ICTAI
2006
IEEE
15 years 3 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
100
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
106
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
—In this paper we consider an interacting two-agent sequential decision-making problem consisting of a Markov source process, a causal encoder with feedback, and a causal decoder...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...