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JOCN
2010
99views more  JOCN 2010»
13 years 8 months 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...
WWW
2011
ACM
13 years 5 months ago
From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
FAST
2007
13 years 11 months ago
//TRACE: Parallel Trace Replay with Approximate Causal Events
//TRACE1 is a new approach for extracting and replaying traces of parallel applications to recreate their I/O behavior. Its tracing engine automatically discovers inter-node data ...
Michael P. Mesnier, Matthew Wachs, Raja R. Sambasi...
CORR
2011
Springer
234views Education» more  CORR 2011»
13 years 5 months ago
Mutual Information, Relative Entropy, and Estimation in the Poisson Channel
Let X be a non-negative random variable and let the conditional distribution of a random variable Y , given X, be Poisson(γ · X), for a parameter γ ≥ 0. We identify a natural...
Rami Atar, Tsachy Weissman
KES
1998
Springer
14 years 2 months ago
Intensity reasoning by constraint propagation based on causal relationships
Many events in the world occur with some quantity that shows a level of the occurrence. This paper discusses reasoning with the normalized level of the occurrence, which we call i...
Koichi Yamada