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JOCN
2010
103views more  JOCN 2010»
11 years 8 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
JMLR
2010
134views more  JMLR 2010»
11 years 8 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
JMLR
2010
149views more  JMLR 2010»
11 years 8 months ago
Fast Committee-Based Structure Learning
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Ernest Mwebaze, John A. Quinn
JMLR
2010
165views more  JMLR 2010»
11 years 8 months ago
Causal Inference
: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional stati...
Judea Pearl
JMLR
2010
143views more  JMLR 2010»
11 years 8 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
JMLR
2010
128views more  JMLR 2010»
11 years 8 months ago
Learning Causal Structure from Overlapping Variable Sets
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
FAST
2009
11 years 11 months ago
Causality-Based Versioning
Versioning file systems provide the ability to recover from a variety of failures, including file corruption, virus and worm infestations, and user mistakes. However, using versio...
Kiran-Kumar Muniswamy-Reddy, David A. Holland
VL
2010
IEEE
195views Visual Languages» more  VL 2010»
12 years 11 days 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
JOCN
2010
99views more  JOCN 2010»
12 years 14 days ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
PRESENCE
2007
127views more  PRESENCE 2007»
12 years 1 months ago
Causal Perception in Virtual Reality and its Implications for Presence Factors
Causality is an important aspect of how we construct reality. Yet, while many psychological phenomena have been studied in their relation to virtual reality (VR), very little work...
Marc Cavazza, Jean-Luc Lugrin, Marc Buehner
books