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ICASSP
2011
IEEE
14 years 3 months ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
IPPS
1998
IEEE
15 years 4 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
GRAPHITE
2005
ACM
15 years 5 months ago
A neural network scheme for transparent surface modelling
Mohamad Ivan Fanany, Itsuo Kumazawa, Kiichi Kobaya...
ICPR
2002
IEEE
15 years 4 months ago
Boosting in Probabilistic Neural Networks
Jiri Grim, Pavel Pudil, Petr Somol
IJON
2008
116views more  IJON 2008»
14 years 12 months ago
Evolutionary ensemble of diverse artificial neural networks using speciation
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
Kyung-Joong Kim, Sung-Bae Cho