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» Axiomatizing Causal Reasoning
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BMCBI
2007
215views more  BMCBI 2007»
14 years 12 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
AIPS
2011
14 years 3 months ago
Where Ignoring Delete Lists Works, Part II: Causal Graphs
The ignoring delete lists relaxation is of paramount importance for both satisficing and optimal planning. In earlier work (Hoffmann 2005), it was observed that the optimal relax...
Joerg Hoffmann
JAIR
2011
173views more  JAIR 2011»
14 years 2 months ago
Analyzing Search Topology Without Running Any Search: On the Connection Between Causal Graphs and h+
The ignoring delete lists relaxation is of paramount importance for both satisficing and optimal planning. In earlier work, it was observed that the optimal relaxation heuristic ...
J. Hoffmann
ICML
2007
IEEE
16 years 19 days ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
KR
2004
Springer
15 years 5 months ago
Evidence and Belief
We discuss the representation of knowledge and of belief from the viewpoint of decision theory. While the Bayesian approach enjoys general-purpose applicability and axiomatic foun...
Itzhak Gilboa, David Schmeidler