869 search results - page 125 / 174 » An Effective Learning Method for Max-Min Neural Networks |
116
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ISNN
2005
Springer
15 years 9 months ago
2005
Springer
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
149
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CORR
2002
Springer
15 years 4 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...
132
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
We present a novel approach to embedding data represented by a network into a lowdimensional Euclidean space. Unlike existing methods, the proposed method attempts to minimize an ...
139
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NN
2008
Springer
15 years 4 months ago
2008
Springer
The self-organising map (SOM) and its variant, visualisation induced SOM (ViSOM), have been known to yield similar results to multidimensional scaling (MDS). However, the exact co...
148
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NIPS
2008
15 years 5 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...