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ICA
2010
Springer
15 years 4 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
IJCINI
2007
106views more  IJCINI 2007»
15 years 3 months ago
The OAR Model of Neural Informatics for Internal Knowledge Representation in the Brain
The cognitive models of information representation are fundamental research areas in cognitive informatics, which attempts to reveal the mechanisms and potential of the brain in l...
Yingxu Wang
JKM
2007
88views more  JKM 2007»
15 years 3 months ago
The concept of knowledge in KM: a dimensional model
Purpose: To sharpen the concepts of tacit, implicit and explicit knowledge by linking them to findings from cognitive psychology and memory science and thus finding a possibility ...
Bertolt Meyer, Kozo Sugiyama
ICML
2009
IEEE
16 years 4 months ago
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
David Andrzejewski, Xiaojin Zhu, Mark Craven
IJAR
2008
92views more  IJAR 2008»
15 years 3 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...