340 search results - page 44 / 68 » Classifying Relational Data with Neural Networks |
NN
2008
Springer
14 years 11 months ago
2008
Springer
Brain processes responsible for understanding language are approximated by spreading activation in semantic networks, providing enhanced representations that involve concepts not ...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
BMEI
2008
IEEE
15 years 6 months ago
2008
IEEE
Three types of data modelling technique are applied retrospectively to individual patients’ anticoagulation therapy data to predict their future levels of anticoagulation. The r...
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ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
JOCN
2010
14 years 10 months ago
2010
■ Distraction and reappraisal are two commonly used forms of cognitive emotion regulation. Functional neuroimaging studies have shown that each one depends upon interactions bet...