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» Learning and Generalization with the Information Bottleneck
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NC
1998
140views Neural Networks» more  NC 1998»
14 years 11 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
BRAIN
2010
Springer
14 years 11 months ago
Cognitive Informatics and Denotational Mathematical Means for Brain Informatics
Cognitive informatics studies the natural intelligence and the brain from a theoretical and a computational approach, which rigorously explains the ms of the brain by a fundamental...
Yingxu Wang
HUC
2010
Springer
14 years 11 months ago
Psycho-physiological measures for assessing cognitive load
With a focus on presenting information at the right time, the ubicomp community can benefit greatly from learning the most salient human measures of cognitive load. Cognitive load...
Eija Haapalainen, Seungjun Kim, Jodi Forlizzi, Ani...
CII
2008
100views more  CII 2008»
14 years 10 months ago
Knowledge formalization in experience feedback processes: An ontology-based approach
Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understa...
Bernard Kamsu Foguem, Thierry Coudert, C. Bé...
IJDMMM
2008
124views more  IJDMMM 2008»
14 years 10 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...