22 search results - page 1 / 5 » Causal Markov condition for submodular information measures |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...
ESANN
2007
13 years 6 months ago
2007
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
NIPS
2004
13 years 6 months ago
2004
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
CORR
2011
Springer
12 years 11 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...