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BIODATAMINING
2008
147views more  BIODATAMINING 2008»
15 years 6 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
DELTA
2002
IEEE
15 years 11 months ago
Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures
In the upcoming high transmission rate system, based on code division multiple access, standard multi-user detection methods are restricted because of performance and implementati...
Florent Carlier, Fabienne Nouvel, Jacques Citerne
ICIAR
2007
Springer
15 years 10 months ago
Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video
In video-based of face recognition applications, the What-and-Where Fusion Neural Network (WWFNN) has been shown to reduce the generalization error by accumulating a classifier�...
Mamoudou Barry, Eric Granger
NIPS
2007
15 years 8 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 1 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria