559 search results - page 8 / 112 » Neural methods for non-standard data |
NIPS
2007
14 years 11 months ago
2007
Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
ANNPR
2008
Springer
14 years 11 months ago
2008
Springer
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
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DAGSTUHL
2009
14 years 10 months ago
2009
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
FLAIRS
2007
14 years 11 months ago
2007
This paper presents a numerical association rule extraction method that is based on original quality measures which evaluate to what extent a numerical classification model behave...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...