1707 search results - page 114 / 342 » Modeling spiking neural networks |
175
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
136
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CSB
2005
IEEE
15 years 11 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
109
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JCNS
2006
15 years 6 months ago
2006
"Equation-free modelling" is a recently-developed technique for bridging the gap between detailed, microscopic descriptions of systems and macroscopic descriptions of the...
209
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ACL
2012
13 years 8 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
155
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LION
2009
Springer
16 years 19 days ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...