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NIPS
2000
13 years 11 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
BMCBI
2008
101views more  BMCBI 2008»
13 years 9 months ago
Prediction of glycosylation sites using random forests
Background: Post translational modifications (PTMs) occur in the vast majority of proteins and are essential for function. Prediction of the sequence location of PTMs enhances the...
Stephen E. Hamby, Jonathan D. Hirst
TSMC
2008
137views more  TSMC 2008»
13 years 9 months ago
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
Chia-Feng Juang, Yu-Wei Tsao
COMPUTER
2000
180views more  COMPUTER 2000»
13 years 9 months ago
The Challenges of Automatic Summarization
tion--the art of abstracting key content from one or more information sources--has become an integral part of everyday life. People keep abreast of world affairs by listening to ne...
Udo Hahn, Inderjeet Mani
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin