559 search results - page 15 / 112 » Neural methods for non-standard data |
101
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NN
2007
Springer
14 years 9 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
91
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ESANN
2001
14 years 11 months ago
2001
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
84
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VLDB
1995
ACM
15 years 1 months ago
1995
ACM
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
100
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IWANN
1999
Springer
15 years 1 months ago
1999
Springer
A crucial problem in non-linear time series forecasting is to determine its auto-regressive order, in particular when the prediction method is non-linear. We show in this paper tha...