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» Multiple fuzzy neural networks modeling with sparse data
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PERCOM
2007
ACM
14 years 8 months ago
The Role of Probabilistic Schemes in Multisensor Context-Awareness
This paper investigates the role of existing "probabilistic" schemes to reason about various everyday situations on the basis of data from multiple heterogeneous physical...
Waltenegus Dargie
NN
2000
Springer
170views Neural Networks» more  NN 2000»
13 years 8 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
14 years 4 days ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 7 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
ICRA
1998
IEEE
141views Robotics» more  ICRA 1998»
14 years 25 days ago
On Discontinuous Human Control Strategies
Models of human control strategy (HCS), which accurately emulate dynamic human behavior, have far reaching potential in areas ranging from robotics to virtual reality to the intel...
Michael C. Nechyba, Yangsheng Xu