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» Representation of Functional Data in Neural Networks
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89
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UAI
1997
14 years 11 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
86
Voted
NN
2002
Springer
125views Neural Networks» more  NN 2002»
14 years 10 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
EUSFLAT
2009
169views Fuzzy Logic» more  EUSFLAT 2009»
14 years 8 months ago
Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
Ieroham S. Baruch, Rosalba Galvan-Guerra
JOCN
2010
85views more  JOCN 2010»
14 years 8 months ago
The Neural Bases of Distraction and Reappraisal
■ Distraction and reappraisal are two commonly used forms of cognitive emotion regulation. Functional neuroimaging studies have shown that each one depends upon interactions bet...
Kateri McRae, Brent Hughes, Sita Chopra, John D. E...
ICANN
2010
Springer
14 years 11 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...