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IJON
2007
85views more  IJON 2007»
15 years 6 months ago
Desynchronized stable states in diluted neural networks
The dynamical properties of a diluted fully inhibitory network of pulse-coupled neurons are investigated. Depending on the coupling strength, two different phases can be observed....
Rüdiger Zillmer, Roberto Livi, Antonio Politi...
TNN
1998
111views more  TNN 1998»
15 years 6 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
JOCN
2010
126views more  JOCN 2010»
15 years 1 months ago
A Multimodal Neural Network Recruited by Expertise with Musical Notation
Prior neuroimaging work on visual perceptual expertise has focused on changes in the visual system, ignoring possible effects of acquiring expert visual skills in nonvisual areas....
Yetta Kwailing Wong, Isabel Gauthier
BMCBI
2007
207views more  BMCBI 2007»
15 years 6 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
172
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ICML
2003
IEEE
16 years 7 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt