559 search results - page 30 / 112 » Neural methods for non-standard data |
122
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NIPS
1992
15 years 1 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
108
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IPPS
2007
IEEE
2007
IEEE
Protein Secondary Structure Prediction using Bayesian Inference method on Decision fusion algorithms
15 years 6 months ago
Prediction of protein secondary structure (alpha-helix, beta-sheet, coil) from primary sequence of amino acids is a very challenging task, and the problem has been approached from...
KES
2008
Springer
14 years 11 months ago
2008
Springer
This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing tim...
ANNPR
2008
Springer
15 years 1 months ago
2008
Springer
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
NN
2002
Springer
14 years 11 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...