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CORR
2010
Springer
154views Education» more  CORR 2010»
14 years 9 months ago
Causal Markov condition for submodular information measures
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...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
DASFAA
2004
IEEE
92views Database» more  DASFAA 2004»
15 years 1 months ago
Modeling Temporally Variable Transportation Networks
In this paper, a State-Based Dynamic Transportation Network (SBDTN) model is presented, which can be used to describe the spatiotemporal aspect of temporally variable transportatio...
Zhiming Ding, Ralf Hartmut Güting
FOCS
2007
IEEE
15 years 3 months ago
Reconstruction for Models on Random Graphs
Consider a collection of random variables attached to the vertices of a graph. The reconstruction problem requires to estimate one of them given ‘far away’ observations. Sever...
Antoine Gerschenfeld, Andrea Montanari
ICDE
2001
IEEE
159views Database» more  ICDE 2001»
15 years 11 months ago
Workflow and Process Synchronization with Interaction Expressions and Graphs
Current workflow management technology does not provide adequate means for inter-workflow coordination as concurrently executing workflows are considered completely independent. W...
Christian Heinlein
IEICET
2010
133views more  IEICET 2010»
14 years 8 months ago
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...