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JMLR
2010
157views more  JMLR 2010»
13 years 2 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
JOCN
2010
103views more  JOCN 2010»
13 years 2 months ago
Functional Neuroimaging Can Support Causal Claims about Brain Function
Cognitive neuroscientists habitually deny that functional neuroimaging can furnish causal information about the relationship between brain events and behavior. However, imaging st...
Matthew J. Weber, Sharon L. Thompson-Schill
BMCBI
2005
189views more  BMCBI 2005»
13 years 7 months ago
Quantitative inference of dynamic regulatory pathways via microarray data
Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
AIED
2005
Springer
14 years 1 months ago
The Use of Qualitative Reasoning Models of Interactions between Populations to Support Causal Reasoning of Deaf Students
Making inferences is crucial for understanding the world. The school may develop such skills but there are few formal opportunities for that. This paper describes an experiment de...
Paulo Salles, Heloisa Lima-Salles, Bert Bredeweg
IJON
2010
189views more  IJON 2010»
13 years 6 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin