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» Optimal Causal Inference
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UAI
2008
13 years 10 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
VL
2010
IEEE
195views Visual Languages» more  VL 2010»
13 years 6 months ago
Causal Reasoning with Neuron Diagrams
The principle of causation is fundamental to science and society and has remained an active topic of discourse in philosophy for over two millennia. Modern philosophers often rely...
Martin Erwig, Eric Walkingshaw
ESANN
2007
13 years 10 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
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...
Xiaohai Sun, Dominik Janzing
IPPS
2006
IEEE
14 years 2 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
JOCN
2011
94views more  JOCN 2011»
13 years 3 months ago
Establishing Causal Coherence across Sentences: An ERP Study
■ This study examined neural activity associated with establishing causal relationships across sentences during on-line comprehension. ERPs were measured while participants read...
Gina R. Kuperberg, Martin Paczynski, Tali Ditman